Warning: Permanently added '2620:52:3:1:dead:beef:cafe:c197' (ED25519) to the list of known hosts. You can reproduce this build on your computer by running: sudo dnf install copr-rpmbuild /usr/bin/copr-rpmbuild --verbose --drop-resultdir --task-url https://copr.fedorainfracloud.org/backend/get-build-task/8929966-fedora-42-x86_64 --chroot fedora-42-x86_64 Version: 1.3 PID: 15433 Logging PID: 15434 Task: {'allow_user_ssh': False, 'appstream': False, 'background': True, 'bootstrap': 'off', 'build_id': 8929966, 'buildroot_pkgs': [], 'chroot': 'fedora-42-x86_64', 'enable_net': False, 'fedora_review': False, 'git_hash': '01490ee3dd896d95d79642a54d322263b6ba4323', 'git_repo': 'https://copr-dist-git.fedorainfracloud.org/git/iucar/cran/R-CRAN-abess', 'isolation': 'default', 'memory_reqs': 2048, 'package_name': 'R-CRAN-abess', 'package_version': '0.4.10-1.copr8929966', 'project_dirname': 'cran', 'project_name': 'cran', 'project_owner': 'iucar', 'repo_priority': None, 'repos': [{'baseurl': 'https://download.copr.fedorainfracloud.org/results/iucar/cran/fedora-42-x86_64/', 'id': 'copr_base', 'name': 'Copr repository', 'priority': None}], 'sandbox': 'iucar/cran--iucar', 'source_json': {}, 'source_type': None, 'ssh_public_keys': None, 'storage': None, 'submitter': 'iucar', 'tags': [], 'task_id': '8929966-fedora-42-x86_64', 'timeout': 18000, 'uses_devel_repo': False, 'with_opts': [], 'without_opts': []} Running: git clone https://copr-dist-git.fedorainfracloud.org/git/iucar/cran/R-CRAN-abess /var/lib/copr-rpmbuild/workspace/workdir-_31y0dqd/R-CRAN-abess --depth 500 --no-single-branch --recursive cmd: ['git', 'clone', 'https://copr-dist-git.fedorainfracloud.org/git/iucar/cran/R-CRAN-abess', '/var/lib/copr-rpmbuild/workspace/workdir-_31y0dqd/R-CRAN-abess', '--depth', '500', '--no-single-branch', '--recursive'] cwd: . rc: 0 stdout: stderr: Cloning into '/var/lib/copr-rpmbuild/workspace/workdir-_31y0dqd/R-CRAN-abess'... Running: git checkout 01490ee3dd896d95d79642a54d322263b6ba4323 -- cmd: ['git', 'checkout', '01490ee3dd896d95d79642a54d322263b6ba4323', '--'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-_31y0dqd/R-CRAN-abess rc: 0 stdout: stderr: Note: switching to '01490ee3dd896d95d79642a54d322263b6ba4323'. You are in 'detached HEAD' state. You can look around, make experimental changes and commit them, and you can discard any commits you make in this state without impacting any branches by switching back to a branch. If you want to create a new branch to retain commits you create, you may do so (now or later) by using -c with the switch command. Example: git switch -c Or undo this operation with: git switch - Turn off this advice by setting config variable advice.detachedHead to false HEAD is now at 01490ee automatic import of R-CRAN-abess Running: dist-git-client sources /usr/bin/tail: /var/lib/copr-rpmbuild/main.log: file truncated cmd: ['dist-git-client', 'sources'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-_31y0dqd/R-CRAN-abess rc: 0 stdout: stderr: INFO: Reading stdout from command: git rev-parse --abbrev-ref HEAD INFO: Reading stdout from command: git rev-parse HEAD INFO: Reading sources specification file: sources INFO: Downloading abess_0.4.10.tar.gz INFO: Reading stdout from command: curl --help all INFO: Calling: curl -H Pragma: -o abess_0.4.10.tar.gz --location --connect-timeout 60 --retry 3 --retry-delay 10 --remote-time --show-error --fail --retry-all-errors https://copr-dist-git.fedorainfracloud.org/repo/pkgs/iucar/cran/R-CRAN-abess/abess_0.4.10.tar.gz/md5/c07cf4b7baa9c310adc87fab94265542/abess_0.4.10.tar.gz % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 770k 100 770k 0 0 10.0M 0 --:--:-- --:--:-- --:--:-- 10.0M INFO: Reading stdout from command: md5sum abess_0.4.10.tar.gz Running (timeout=18000): unbuffer mock --spec /var/lib/copr-rpmbuild/workspace/workdir-_31y0dqd/R-CRAN-abess/R-CRAN-abess.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-_31y0dqd/R-CRAN-abess --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1745130373.647926 -r /var/lib/copr-rpmbuild/results/configs/child.cfg INFO: mock.py version 6.1 starting (python version = 3.13.0, NVR = mock-6.1-1.fc41), args: /usr/libexec/mock/mock --spec /var/lib/copr-rpmbuild/workspace/workdir-_31y0dqd/R-CRAN-abess/R-CRAN-abess.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-_31y0dqd/R-CRAN-abess --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1745130373.647926 -r /var/lib/copr-rpmbuild/results/configs/child.cfg Start: init plugins INFO: tmpfs initialized INFO: selinux enabled INFO: chroot_scan: initialized INFO: compress_logs: initialized Finish: init plugins INFO: Signal handler active Start: run INFO: Start(/var/lib/copr-rpmbuild/workspace/workdir-_31y0dqd/R-CRAN-abess/R-CRAN-abess.spec) Config(fedora-42-x86_64) Start: clean chroot Finish: clean chroot Mock Version: 6.1 INFO: Mock Version: 6.1 Start: chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-42-x86_64-1745130373.647926/root. INFO: calling preinit hooks INFO: enabled root cache INFO: enabled package manager cache Start: cleaning package manager metadata Finish: cleaning package manager metadata INFO: enabled HW Info plugin INFO: Package manager dnf5 detected and used (fallback) INFO: Buildroot is handled by package management from host and used with --installroot: rpm-4.20.1-1.fc41.x86_64 rpm-sequoia-1.7.0-2.fc41.x86_64 python3-dnf-4.23.0-1.fc41.noarch python3-dnf-plugins-core-4.10.1-1.fc41.noarch dnf5-5.2.12.0-2.fc41.x86_64 dnf5-plugins-5.2.12.0-2.fc41.x86_64 Start: installing minimal buildroot with dnf5 Updating and loading repositories: updates 100% | 1.1 MiB/s | 30.1 KiB | 00m00s fedora 100% | 875.7 KiB/s | 28.0 KiB | 00m00s Copr repository 100% | 33.5 KiB/s | 1.5 KiB | 00m00s updates 100% | 4.9 MiB/s | 1.7 MiB | 00m00s Copr repository 100% | 55.8 MiB/s | 13.0 MiB | 00m00s Repositories loaded. Package Arch Version Repository Size Installing group/module packages: bash x86_64 5.2.37-1.fc42 fedora 8.2 MiB bzip2 x86_64 1.0.8-20.fc42 fedora 99.3 KiB coreutils x86_64 9.6-2.fc42 fedora 5.5 MiB cpio x86_64 2.15-4.fc42 fedora 1.1 MiB diffutils x86_64 3.12-1.fc42 updates 1.6 MiB fedora-release-common noarch 42-26 updates 20.2 KiB findutils x86_64 1:4.10.0-5.fc42 fedora 1.9 MiB gawk x86_64 5.3.1-1.fc42 fedora 1.7 MiB glibc-minimal-langpack x86_64 2.41-3.fc42 updates 0.0 B grep x86_64 3.11-10.fc42 fedora 1.0 MiB gzip x86_64 1.13-3.fc42 fedora 392.9 KiB info x86_64 7.2-3.fc42 fedora 357.9 KiB patch x86_64 2.8-1.fc42 updates 222.8 KiB redhat-rpm-config noarch 342-4.fc42 updates 185.5 KiB rpm-build x86_64 4.20.1-1.fc42 fedora 168.7 KiB sed x86_64 4.9-4.fc42 fedora 857.3 KiB shadow-utils x86_64 2:4.17.4-1.fc42 fedora 4.0 MiB tar x86_64 2:1.35-5.fc42 fedora 3.0 MiB unzip x86_64 6.0-66.fc42 fedora 390.3 KiB util-linux x86_64 2.40.4-7.fc42 fedora 3.4 MiB which x86_64 2.23-1.fc42 fedora 83.4 KiB xz x86_64 1:5.6.3-3.fc42 fedora 1.2 MiB Installing dependencies: add-determinism x86_64 0.6.0-1.fc42 fedora 2.5 MiB alternatives x86_64 1.32-1.fc42 fedora 62.2 KiB ansible-srpm-macros noarch 1-17.1.fc42 fedora 35.7 KiB audit-libs x86_64 4.0.3-2.fc42 fedora 351.3 KiB basesystem noarch 11-22.fc42 fedora 0.0 B binutils x86_64 2.44-3.fc42 fedora 25.9 MiB build-reproducibility-srpm-macros noarch 0.6.0-1.fc42 fedora 735.0 B bzip2-libs x86_64 1.0.8-20.fc42 fedora 84.6 KiB ca-certificates noarch 2024.2.69_v8.0.401-6.fc42 updates 2.6 MiB coreutils-common x86_64 9.6-2.fc42 fedora 11.1 MiB crypto-policies noarch 20250214-1.gitff7551b.fc42 fedora 137.2 KiB curl x86_64 8.11.1-4.fc42 fedora 450.6 KiB cyrus-sasl-lib x86_64 2.1.28-30.fc42 fedora 2.3 MiB debugedit x86_64 5.1-5.fc42 fedora 192.7 KiB dwz x86_64 0.15-9.fc42 fedora 291.0 KiB ed x86_64 1.21-2.fc42 fedora 146.5 KiB efi-srpm-macros noarch 6-2.fc42 fedora 40.1 KiB elfutils x86_64 0.192-9.fc42 fedora 2.6 MiB elfutils-debuginfod-client x86_64 0.192-9.fc42 fedora 79.9 KiB elfutils-default-yama-scope noarch 0.192-9.fc42 fedora 1.8 KiB elfutils-libelf x86_64 0.192-9.fc42 fedora 1.2 MiB elfutils-libs x86_64 0.192-9.fc42 fedora 667.0 KiB fedora-gpg-keys noarch 42-1 fedora 128.2 KiB fedora-release noarch 42-26 updates 0.0 B fedora-release-identity-basic noarch 42-26 updates 674.0 B fedora-repos noarch 42-1 fedora 4.9 KiB file x86_64 5.46-1.fc42 fedora 100.2 KiB file-libs x86_64 5.46-1.fc42 fedora 11.9 MiB filesystem x86_64 3.18-36.fc42 fedora 112.0 B filesystem-srpm-macros noarch 3.18-36.fc42 fedora 38.2 KiB fonts-srpm-macros noarch 1:2.0.5-21.fc42 fedora 55.8 KiB forge-srpm-macros noarch 0.4.0-2.fc42 fedora 38.9 KiB fpc-srpm-macros noarch 1.3-14.fc42 fedora 144.0 B gdb-minimal x86_64 16.2-3.fc42 fedora 13.2 MiB gdbm-libs x86_64 1:1.23-9.fc42 fedora 129.9 KiB ghc-srpm-macros noarch 1.9.2-2.fc42 fedora 779.0 B glibc x86_64 2.41-3.fc42 updates 6.6 MiB glibc-common x86_64 2.41-3.fc42 updates 1.0 MiB glibc-gconv-extra x86_64 2.41-3.fc42 updates 7.2 MiB gmp x86_64 1:6.3.0-4.fc42 fedora 811.3 KiB gnat-srpm-macros noarch 6-7.fc42 fedora 1.0 KiB go-srpm-macros noarch 3.6.0-6.fc42 fedora 60.8 KiB jansson x86_64 2.14-2.fc42 fedora 93.1 KiB json-c x86_64 0.18-2.fc42 fedora 86.7 KiB kernel-srpm-macros noarch 1.0-25.fc42 fedora 1.9 KiB keyutils-libs x86_64 1.6.3-5.fc42 fedora 58.3 KiB krb5-libs x86_64 1.21.3-5.fc42 fedora 2.3 MiB libacl x86_64 2.3.2-3.fc42 fedora 38.3 KiB libarchive x86_64 3.7.7-4.fc42 fedora 930.6 KiB libattr x86_64 2.5.2-5.fc42 fedora 27.1 KiB libblkid x86_64 2.40.4-7.fc42 fedora 262.4 KiB libbrotli x86_64 1.1.0-6.fc42 fedora 841.3 KiB libcap x86_64 2.73-2.fc42 fedora 207.1 KiB libcap-ng x86_64 0.8.5-4.fc42 fedora 72.9 KiB libcom_err x86_64 1.47.2-3.fc42 fedora 67.1 KiB libcurl x86_64 8.11.1-4.fc42 fedora 842.1 KiB libeconf x86_64 0.7.6-1.fc42 fedora 64.6 KiB libevent x86_64 2.1.12-15.fc42 fedora 903.1 KiB libfdisk x86_64 2.40.4-7.fc42 fedora 372.3 KiB libffi x86_64 3.4.6-5.fc42 fedora 82.3 KiB libgcc x86_64 15.0.1-0.11.fc42 fedora 266.6 KiB libgomp x86_64 15.0.1-0.11.fc42 fedora 537.6 KiB libidn2 x86_64 2.3.8-1.fc42 fedora 556.5 KiB libmount x86_64 2.40.4-7.fc42 fedora 356.3 KiB libnghttp2 x86_64 1.64.0-3.fc42 fedora 170.4 KiB libpkgconf x86_64 2.3.0-2.fc42 fedora 78.1 KiB libpsl x86_64 0.21.5-5.fc42 fedora 76.4 KiB libselinux x86_64 3.8-1.fc42 fedora 193.1 KiB libsemanage x86_64 3.8-1.fc42 fedora 308.4 KiB libsepol x86_64 3.8-1.fc42 fedora 826.0 KiB libsmartcols x86_64 2.40.4-7.fc42 fedora 180.4 KiB libssh x86_64 0.11.1-4.fc42 fedora 565.5 KiB libssh-config noarch 0.11.1-4.fc42 fedora 277.0 B libstdc++ x86_64 15.0.1-0.11.fc42 fedora 2.8 MiB libtasn1 x86_64 4.20.0-1.fc42 fedora 176.3 KiB libtool-ltdl x86_64 2.5.4-4.fc42 fedora 70.1 KiB libunistring x86_64 1.1-9.fc42 fedora 1.7 MiB libuuid x86_64 2.40.4-7.fc42 fedora 37.3 KiB libverto x86_64 0.3.2-10.fc42 fedora 25.4 KiB libxcrypt x86_64 4.4.38-7.fc42 updates 284.5 KiB libxml2 x86_64 2.12.10-1.fc42 fedora 1.7 MiB libzstd x86_64 1.5.7-1.fc42 fedora 807.8 KiB lua-libs x86_64 5.4.7-3.fc42 fedora 280.8 KiB lua-srpm-macros noarch 1-15.fc42 fedora 1.3 KiB lz4-libs x86_64 1.10.0-2.fc42 fedora 157.4 KiB mpfr x86_64 4.2.2-1.fc42 fedora 828.8 KiB ncurses-base noarch 6.5-5.20250125.fc42 fedora 326.8 KiB ncurses-libs x86_64 6.5-5.20250125.fc42 fedora 946.3 KiB ocaml-srpm-macros noarch 10-4.fc42 fedora 1.9 KiB openblas-srpm-macros noarch 2-19.fc42 fedora 112.0 B openldap x86_64 2.6.9-3.fc42 fedora 655.1 KiB openssl-libs x86_64 1:3.2.4-3.fc42 fedora 7.8 MiB p11-kit x86_64 0.25.5-5.fc42 fedora 2.2 MiB p11-kit-trust x86_64 0.25.5-5.fc42 fedora 395.5 KiB package-notes-srpm-macros noarch 0.5-13.fc42 fedora 1.6 KiB pam-libs x86_64 1.7.0-4.fc42 fedora 126.7 KiB pcre2 x86_64 10.45-1.fc42 fedora 697.7 KiB pcre2-syntax noarch 10.45-1.fc42 fedora 273.9 KiB perl-srpm-macros noarch 1-57.fc42 fedora 861.0 B pkgconf x86_64 2.3.0-2.fc42 fedora 88.5 KiB pkgconf-m4 noarch 2.3.0-2.fc42 fedora 14.4 KiB pkgconf-pkg-config x86_64 2.3.0-2.fc42 fedora 989.0 B popt x86_64 1.19-8.fc42 fedora 132.8 KiB publicsuffix-list-dafsa noarch 20250116-1.fc42 fedora 68.5 KiB pyproject-srpm-macros noarch 1.18.1-1.fc42 fedora 1.9 KiB python-srpm-macros noarch 3.13-4.fc42 fedora 51.0 KiB qt5-srpm-macros noarch 5.15.15-1.fc42 fedora 500.0 B qt6-srpm-macros noarch 6.9.0-2.fc42 updates 464.0 B readline x86_64 8.2-13.fc42 fedora 485.0 KiB rpm x86_64 4.20.1-1.fc42 fedora 3.1 MiB rpm-build-libs x86_64 4.20.1-1.fc42 fedora 206.6 KiB rpm-libs x86_64 4.20.1-1.fc42 fedora 721.8 KiB rpm-sequoia x86_64 1.7.0-5.fc42 fedora 2.4 MiB rust-srpm-macros noarch 26.3-4.fc42 fedora 4.8 KiB setup noarch 2.15.0-13.fc42 fedora 720.9 KiB sqlite-libs x86_64 3.47.2-2.fc42 fedora 1.5 MiB systemd-libs x86_64 257.5-2.fc42 updates 2.2 MiB systemd-standalone-sysusers x86_64 257.5-2.fc42 updates 277.3 KiB tree-sitter-srpm-macros noarch 0.1.0-8.fc42 fedora 6.5 KiB util-linux-core x86_64 2.40.4-7.fc42 fedora 1.4 MiB xxhash-libs x86_64 0.8.3-2.fc42 fedora 90.2 KiB xz-libs x86_64 1:5.6.3-3.fc42 fedora 218.3 KiB zig-srpm-macros noarch 1-4.fc42 fedora 1.1 KiB zip x86_64 3.0-43.fc42 fedora 698.5 KiB zlib-ng-compat x86_64 2.2.4-3.fc42 fedora 137.6 KiB zstd x86_64 1.5.7-1.fc42 fedora 1.7 MiB Installing groups: Buildsystem building group Transaction Summary: Installing: 148 packages Total size of inbound packages is 52 MiB. Need to download 9 KiB. After this operation, 176 MiB extra will be used (install 176 MiB, remove 0 B). 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-------------------------------------------------------------------------------- [148/148] Total 100% | 50.7 KiB/s | 9.4 KiB | 00m00s Running transaction Importing OpenPGP key 0x105EF944: UserID : "Fedora (42) " Fingerprint: B0F4950458F69E1150C6C5EDC8AC4916105EF944 From : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-42-primary The key was successfully imported. 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MiB/s | 129.1 KiB | 00m00s [ 52/150] Installing libcap-0:2.73-2.fc 100% | 12.9 MiB/s | 212.1 KiB | 00m00s [ 53/150] Installing systemd-libs-0:257 100% | 222.8 MiB/s | 2.2 MiB | 00m00s [ 54/150] Installing libsmartcols-0:2.4 100% | 177.3 MiB/s | 181.5 KiB | 00m00s [ 55/150] Installing libsepol-0:3.8-1.f 100% | 201.9 MiB/s | 827.0 KiB | 00m00s [ 56/150] Installing libselinux-0:3.8-1 100% | 94.9 MiB/s | 194.3 KiB | 00m00s [ 57/150] Installing findutils-1:4.10.0 100% | 78.1 MiB/s | 1.9 MiB | 00m00s [ 58/150] Installing sed-0:4.9-4.fc42.x 100% | 42.3 MiB/s | 865.5 KiB | 00m00s [ 59/150] Installing libmount-0:2.40.4- 100% | 174.5 MiB/s | 357.3 KiB | 00m00s [ 60/150] Installing lz4-libs-0:1.10.0- 100% | 154.7 MiB/s | 158.5 KiB | 00m00s [ 61/150] Installing lua-libs-0:5.4.7-3 100% | 137.7 MiB/s | 282.0 KiB | 00m00s [ 62/150] Installing alternatives-0:1.3 100% | 4.8 MiB/s | 63.8 KiB | 00m00s [ 63/150] Installing libffi-0:3.4.6-5.f 100% | 81.7 MiB/s | 83.7 KiB | 00m00s [ 64/150] Installing libtasn1-0:4.20.0- 100% | 87.0 MiB/s | 178.1 KiB | 00m00s [ 65/150] Installing p11-kit-0:0.25.5-5 100% | 78.0 MiB/s | 2.2 MiB | 00m00s [ 66/150] Installing libunistring-0:1.1 100% | 246.7 MiB/s | 1.7 MiB | 00m00s [ 67/150] Installing libidn2-0:2.3.8-1. 100% | 91.6 MiB/s | 562.7 KiB | 00m00s [ 68/150] Installing libpsl-0:0.21.5-5. 100% | 75.7 MiB/s | 77.5 KiB | 00m00s [ 69/150] Installing p11-kit-trust-0:0. 100% | 10.8 MiB/s | 397.2 KiB | 00m00s [ 70/150] Installing zstd-0:1.5.7-1.fc4 100% | 81.4 MiB/s | 1.7 MiB | 00m00s [ 71/150] Installing util-linux-core-0: 100% | 57.1 MiB/s | 1.4 MiB | 00m00s [ 72/150] Installing tar-2:1.35-5.fc42. 100% | 105.8 MiB/s | 3.0 MiB | 00m00s [ 73/150] Installing libsemanage-0:3.8- 100% | 101.0 MiB/s | 310.2 KiB | 00m00s [ 74/150] Installing shadow-utils-2:4.1 100% | 80.9 MiB/s | 4.0 MiB | 00m00s [ 75/150] Installing systemd-standalone 100% | 19.4 MiB/s | 277.9 KiB | 00m00s [ 76/150] Installing zip-0:3.0-43.fc42. 100% | 42.9 MiB/s | 702.4 KiB | 00m00s [ 77/150] Installing libfdisk-0:2.40.4- 100% | 182.3 MiB/s | 373.4 KiB | 00m00s [ 78/150] Installing libxml2-0:2.12.10- 100% | 89.3 MiB/s | 1.7 MiB | 00m00s [ 79/150] Installing bzip2-0:1.0.8-20.f 100% | 7.2 MiB/s | 103.8 KiB | 00m00s [ 80/150] Installing sqlite-libs-0:3.47 100% | 250.7 MiB/s | 1.5 MiB | 00m00s [ 81/150] Installing add-determinism-0: 100% | 112.1 MiB/s | 2.5 MiB | 00m00s [ 82/150] Installing build-reproducibil 100% | 0.0 B/s | 1.0 KiB | 00m00s [ 83/150] Installing ed-0:1.21-2.fc42.x 100% | 10.4 MiB/s | 148.8 KiB | 00m00s [ 84/150] Installing patch-0:2.8-1.fc42 100% | 15.6 MiB/s | 224.3 KiB | 00m00s [ 85/150] Installing filesystem-srpm-ma 100% | 38.0 MiB/s | 38.9 KiB | 00m00s [ 86/150] Installing elfutils-default-y 100% | 120.2 KiB/s | 2.0 KiB | 00m00s [ 87/150] Installing elfutils-libs-0:0. 100% | 163.3 MiB/s | 668.7 KiB | 00m00s [ 88/150] Installing cpio-0:2.15-4.fc42 100% | 45.8 MiB/s | 1.1 MiB | 00m00s [ 89/150] Installing diffutils-0:3.12-1 100% | 67.9 MiB/s | 1.6 MiB | 00m00s [ 90/150] Installing libgomp-0:15.0.1-0 100% | 175.4 MiB/s | 539.0 KiB | 00m00s [ 91/150] Installing json-c-0:0.18-2.fc 100% | 85.9 MiB/s | 88.0 KiB | 00m00s [ 92/150] Installing jansson-0:2.14-2.f 100% | 92.2 MiB/s | 94.4 KiB | 00m00s [ 93/150] Installing libpkgconf-0:2.3.0 100% | 77.4 MiB/s | 79.2 KiB | 00m00s [ 94/150] Installing pkgconf-0:2.3.0-2. 100% | 6.3 MiB/s | 91.0 KiB | 00m00s [ 95/150] Installing pkgconf-pkg-config 100% | 136.4 KiB/s | 1.8 KiB | 00m00s [ 96/150] Installing xxhash-libs-0:0.8. 100% | 89.4 MiB/s | 91.6 KiB | 00m00s [ 97/150] Installing libbrotli-0:1.1.0- 100% | 205.9 MiB/s | 843.6 KiB | 00m00s [ 98/150] Installing libnghttp2-0:1.64. 100% | 167.5 MiB/s | 171.5 KiB | 00m00s [ 99/150] Installing keyutils-libs-0:1. 100% | 58.3 MiB/s | 59.7 KiB | 00m00s [100/150] Installing libcom_err-0:1.47. 100% | 66.6 MiB/s | 68.2 KiB | 00m00s [101/150] Installing libverto-0:0.3.2-1 100% | 13.3 MiB/s | 27.2 KiB | 00m00s [102/150] Installing libtool-ltdl-0:2.5 100% | 69.6 MiB/s | 71.2 KiB | 00m00s [103/150] Installing gdbm-libs-1:1.23-9 100% | 128.5 MiB/s | 131.6 KiB | 00m00s [104/150] Installing cyrus-sasl-lib-0:2 100% | 96.0 MiB/s | 2.3 MiB | 00m00s [105/150] Installing rust-srpm-macros-0 100% | 5.4 MiB/s | 5.6 KiB | 00m00s [106/150] Installing qt5-srpm-macros-0: 100% | 0.0 B/s | 776.0 B | 00m00s [107/150] Installing perl-srpm-macros-0 100% | 0.0 B/s | 1.1 KiB | 00m00s [108/150] Installing package-notes-srpm 100% | 0.0 B/s | 2.0 KiB | 00m00s [109/150] Installing openblas-srpm-macr 100% | 0.0 B/s | 392.0 B | 00m00s [110/150] Installing ocaml-srpm-macros- 100% | 0.0 B/s | 2.2 KiB | 00m00s [111/150] Installing kernel-srpm-macros 100% | 0.0 B/s | 2.3 KiB | 00m00s [112/150] Installing gnat-srpm-macros-0 100% | 0.0 B/s | 1.3 KiB | 00m00s [113/150] Installing ghc-srpm-macros-0: 100% | 0.0 B/s | 1.0 KiB | 00m00s [114/150] Installing fpc-srpm-macros-0: 100% | 0.0 B/s | 420.0 B | 00m00s [115/150] Installing ansible-srpm-macro 100% | 35.4 MiB/s | 36.2 KiB | 00m00s [116/150] Installing coreutils-common-0 100% | 232.4 MiB/s | 11.2 MiB | 00m00s [117/150] Installing openssl-libs-1:3.2 100% | 288.3 MiB/s | 7.8 MiB | 00m00s [118/150] Installing coreutils-0:9.6-2. 100% | 94.0 MiB/s | 5.5 MiB | 00m00s [119/150] Installing ca-certificates-0: 100% | 1.1 MiB/s | 2.4 MiB | 00m02s [120/150] Installing libarchive-0:3.7.7 100% | 151.8 MiB/s | 932.6 KiB | 00m00s [121/150] Installing krb5-libs-0:1.21.3 100% | 176.9 MiB/s | 2.3 MiB | 00m00s [122/150] Installing libssh-0:0.11.1-4. 100% | 184.7 MiB/s | 567.5 KiB | 00m00s [123/150] Installing gzip-0:1.13-3.fc42 100% | 21.6 MiB/s | 398.4 KiB | 00m00s [124/150] Installing rpm-sequoia-0:1.7. 100% | 268.3 MiB/s | 2.4 MiB | 00m00s [125/150] Installing rpm-libs-0:4.20.1- 100% | 176.6 MiB/s | 723.4 KiB | 00m00s [126/150] Installing rpm-build-libs-0:4 100% | 101.3 MiB/s | 207.4 KiB | 00m00s [127/150] Installing libevent-0:2.1.12- 100% | 177.1 MiB/s | 906.9 KiB | 00m00s [128/150] Installing openldap-0:2.6.9-3 100% | 128.7 MiB/s | 658.9 KiB | 00m00s [129/150] Installing libcurl-0:8.11.1-4 100% | 205.9 MiB/s | 843.2 KiB | 00m00s [130/150] Installing elfutils-debuginfo 100% | 5.4 MiB/s | 82.2 KiB | 00m00s [131/150] Installing elfutils-0:0.192-9 100% | 109.4 MiB/s | 2.6 MiB | 00m00s [132/150] Installing binutils-0:2.44-3. 100% | 225.2 MiB/s | 25.9 MiB | 00m00s [133/150] Installing gdb-minimal-0:16.2 100% | 235.8 MiB/s | 13.2 MiB | 00m00s [134/150] Installing debugedit-0:5.1-5. 100% | 11.9 MiB/s | 195.4 KiB | 00m00s [135/150] Installing curl-0:8.11.1-4.fc 100% | 12.6 MiB/s | 453.1 KiB | 00m00s [136/150] Installing rpm-0:4.20.1-1.fc4 100% | 58.1 MiB/s | 2.5 MiB | 00m00s [137/150] Installing efi-srpm-macros-0: 100% | 40.1 MiB/s | 41.1 KiB | 00m00s [138/150] Installing lua-srpm-macros-0: 100% | 0.0 B/s | 1.9 KiB | 00m00s [139/150] Installing tree-sitter-srpm-m 100% | 7.2 MiB/s | 7.4 KiB | 00m00s [140/150] Installing zig-srpm-macros-0: 100% | 1.6 MiB/s | 1.7 KiB | 00m00s [141/150] Installing fonts-srpm-macros- 100% | 55.7 MiB/s | 57.0 KiB | 00m00s [142/150] Installing forge-srpm-macros- 100% | 39.3 MiB/s | 40.3 KiB | 00m00s [143/150] Installing go-srpm-macros-0:3 100% | 60.5 MiB/s | 62.0 KiB | 00m00s [144/150] Installing python-srpm-macros 100% | 50.9 MiB/s | 52.2 KiB | 00m00s [145/150] Installing redhat-rpm-config- 100% | 46.9 MiB/s | 192.2 KiB | 00m00s [146/150] Installing rpm-build-0:4.20.1 100% | 9.6 MiB/s | 177.4 KiB | 00m00s [147/150] Installing pyproject-srpm-mac 100% | 2.4 MiB/s | 2.5 KiB | 00m00s [148/150] Installing which-0:2.23-1.fc4 100% | 4.9 MiB/s | 85.6 KiB | 00m00s [149/150] Installing util-linux-0:2.40. 100% | 58.7 MiB/s | 3.5 MiB | 00m00s [150/150] Installing info-0:7.2-3.fc42. 100% | 123.0 KiB/s | 358.3 KiB | 00m03s Complete! Finish: installing minimal buildroot with dnf5 Start: creating root cache Finish: creating root cache Finish: chroot init INFO: Installed packages: INFO: add-determinism-0.6.0-1.fc42.x86_64 alternatives-1.32-1.fc42.x86_64 ansible-srpm-macros-1-17.1.fc42.noarch audit-libs-4.0.3-2.fc42.x86_64 basesystem-11-22.fc42.noarch bash-5.2.37-1.fc42.x86_64 binutils-2.44-3.fc42.x86_64 build-reproducibility-srpm-macros-0.6.0-1.fc42.noarch bzip2-1.0.8-20.fc42.x86_64 bzip2-libs-1.0.8-20.fc42.x86_64 ca-certificates-2024.2.69_v8.0.401-6.fc42.noarch coreutils-9.6-2.fc42.x86_64 coreutils-common-9.6-2.fc42.x86_64 cpio-2.15-4.fc42.x86_64 crypto-policies-20250214-1.gitff7551b.fc42.noarch curl-8.11.1-4.fc42.x86_64 cyrus-sasl-lib-2.1.28-30.fc42.x86_64 debugedit-5.1-5.fc42.x86_64 diffutils-3.12-1.fc42.x86_64 dwz-0.15-9.fc42.x86_64 ed-1.21-2.fc42.x86_64 efi-srpm-macros-6-2.fc42.noarch elfutils-0.192-9.fc42.x86_64 elfutils-debuginfod-client-0.192-9.fc42.x86_64 elfutils-default-yama-scope-0.192-9.fc42.noarch elfutils-libelf-0.192-9.fc42.x86_64 elfutils-libs-0.192-9.fc42.x86_64 fedora-gpg-keys-42-1.noarch fedora-release-42-26.noarch fedora-release-common-42-26.noarch fedora-release-identity-basic-42-26.noarch fedora-repos-42-1.noarch file-5.46-1.fc42.x86_64 file-libs-5.46-1.fc42.x86_64 filesystem-3.18-36.fc42.x86_64 filesystem-srpm-macros-3.18-36.fc42.noarch findutils-4.10.0-5.fc42.x86_64 fonts-srpm-macros-2.0.5-21.fc42.noarch forge-srpm-macros-0.4.0-2.fc42.noarch fpc-srpm-macros-1.3-14.fc42.noarch gawk-5.3.1-1.fc42.x86_64 gdb-minimal-16.2-3.fc42.x86_64 gdbm-libs-1.23-9.fc42.x86_64 ghc-srpm-macros-1.9.2-2.fc42.noarch glibc-2.41-3.fc42.x86_64 glibc-common-2.41-3.fc42.x86_64 glibc-gconv-extra-2.41-3.fc42.x86_64 glibc-minimal-langpack-2.41-3.fc42.x86_64 gmp-6.3.0-4.fc42.x86_64 gnat-srpm-macros-6-7.fc42.noarch go-srpm-macros-3.6.0-6.fc42.noarch gpg-pubkey-105ef944-65ca83d1 grep-3.11-10.fc42.x86_64 gzip-1.13-3.fc42.x86_64 info-7.2-3.fc42.x86_64 jansson-2.14-2.fc42.x86_64 json-c-0.18-2.fc42.x86_64 kernel-srpm-macros-1.0-25.fc42.noarch keyutils-libs-1.6.3-5.fc42.x86_64 krb5-libs-1.21.3-5.fc42.x86_64 libacl-2.3.2-3.fc42.x86_64 libarchive-3.7.7-4.fc42.x86_64 libattr-2.5.2-5.fc42.x86_64 libblkid-2.40.4-7.fc42.x86_64 libbrotli-1.1.0-6.fc42.x86_64 libcap-2.73-2.fc42.x86_64 libcap-ng-0.8.5-4.fc42.x86_64 libcom_err-1.47.2-3.fc42.x86_64 libcurl-8.11.1-4.fc42.x86_64 libeconf-0.7.6-1.fc42.x86_64 libevent-2.1.12-15.fc42.x86_64 libfdisk-2.40.4-7.fc42.x86_64 libffi-3.4.6-5.fc42.x86_64 libgcc-15.0.1-0.11.fc42.x86_64 libgomp-15.0.1-0.11.fc42.x86_64 libidn2-2.3.8-1.fc42.x86_64 libmount-2.40.4-7.fc42.x86_64 libnghttp2-1.64.0-3.fc42.x86_64 libpkgconf-2.3.0-2.fc42.x86_64 libpsl-0.21.5-5.fc42.x86_64 libselinux-3.8-1.fc42.x86_64 libsemanage-3.8-1.fc42.x86_64 libsepol-3.8-1.fc42.x86_64 libsmartcols-2.40.4-7.fc42.x86_64 libssh-0.11.1-4.fc42.x86_64 libssh-config-0.11.1-4.fc42.noarch libstdc++-15.0.1-0.11.fc42.x86_64 libtasn1-4.20.0-1.fc42.x86_64 libtool-ltdl-2.5.4-4.fc42.x86_64 libunistring-1.1-9.fc42.x86_64 libuuid-2.40.4-7.fc42.x86_64 libverto-0.3.2-10.fc42.x86_64 libxcrypt-4.4.38-7.fc42.x86_64 libxml2-2.12.10-1.fc42.x86_64 libzstd-1.5.7-1.fc42.x86_64 lua-libs-5.4.7-3.fc42.x86_64 lua-srpm-macros-1-15.fc42.noarch lz4-libs-1.10.0-2.fc42.x86_64 mpfr-4.2.2-1.fc42.x86_64 ncurses-base-6.5-5.20250125.fc42.noarch ncurses-libs-6.5-5.20250125.fc42.x86_64 ocaml-srpm-macros-10-4.fc42.noarch openblas-srpm-macros-2-19.fc42.noarch openldap-2.6.9-3.fc42.x86_64 openssl-libs-3.2.4-3.fc42.x86_64 p11-kit-0.25.5-5.fc42.x86_64 p11-kit-trust-0.25.5-5.fc42.x86_64 package-notes-srpm-macros-0.5-13.fc42.noarch pam-libs-1.7.0-4.fc42.x86_64 patch-2.8-1.fc42.x86_64 pcre2-10.45-1.fc42.x86_64 pcre2-syntax-10.45-1.fc42.noarch perl-srpm-macros-1-57.fc42.noarch pkgconf-2.3.0-2.fc42.x86_64 pkgconf-m4-2.3.0-2.fc42.noarch pkgconf-pkg-config-2.3.0-2.fc42.x86_64 popt-1.19-8.fc42.x86_64 publicsuffix-list-dafsa-20250116-1.fc42.noarch pyproject-srpm-macros-1.18.1-1.fc42.noarch python-srpm-macros-3.13-4.fc42.noarch qt5-srpm-macros-5.15.15-1.fc42.noarch qt6-srpm-macros-6.9.0-2.fc42.noarch readline-8.2-13.fc42.x86_64 redhat-rpm-config-342-4.fc42.noarch rpm-4.20.1-1.fc42.x86_64 rpm-build-4.20.1-1.fc42.x86_64 rpm-build-libs-4.20.1-1.fc42.x86_64 rpm-libs-4.20.1-1.fc42.x86_64 rpm-sequoia-1.7.0-5.fc42.x86_64 rust-srpm-macros-26.3-4.fc42.noarch sed-4.9-4.fc42.x86_64 setup-2.15.0-13.fc42.noarch shadow-utils-4.17.4-1.fc42.x86_64 sqlite-libs-3.47.2-2.fc42.x86_64 systemd-libs-257.5-2.fc42.x86_64 systemd-standalone-sysusers-257.5-2.fc42.x86_64 tar-1.35-5.fc42.x86_64 tree-sitter-srpm-macros-0.1.0-8.fc42.noarch unzip-6.0-66.fc42.x86_64 util-linux-2.40.4-7.fc42.x86_64 util-linux-core-2.40.4-7.fc42.x86_64 which-2.23-1.fc42.x86_64 xxhash-libs-0.8.3-2.fc42.x86_64 xz-5.6.3-3.fc42.x86_64 xz-libs-5.6.3-3.fc42.x86_64 zig-srpm-macros-1-4.fc42.noarch zip-3.0-43.fc42.x86_64 zlib-ng-compat-2.2.4-3.fc42.x86_64 zstd-1.5.7-1.fc42.x86_64 Start: buildsrpm Start: rpmbuild -bs Building target platforms: x86_64 Building for target x86_64 warning: %source_date_epoch_from_changelog is set, but %changelog has no entries to take a date from Wrote: /builddir/build/SRPMS/R-CRAN-abess-0.4.10-1.fc42.copr8929966.src.rpm RPM build warnings: %source_date_epoch_from_changelog is set, but %changelog has no entries to take a date from Finish: rpmbuild -bs INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-42-x86_64-1745130373.647926/root/var/log/dnf5.log INFO: chroot_scan: creating tarball /var/lib/copr-rpmbuild/results/chroot_scan.tar.gz /bin/tar: Removing leading `/' from member names Finish: buildsrpm INFO: Done(/var/lib/copr-rpmbuild/workspace/workdir-_31y0dqd/R-CRAN-abess/R-CRAN-abess.spec) Config(child) 0 minutes 17 seconds INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results INFO: Cleaning up build root ('cleanup_on_success=True') Start: clean chroot INFO: unmounting tmpfs. Finish: clean chroot INFO: Start(/var/lib/copr-rpmbuild/results/R-CRAN-abess-0.4.10-1.fc42.copr8929966.src.rpm) Config(fedora-42-x86_64) Start: chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-42-x86_64-1745130373.647926/root. INFO: calling preinit hooks INFO: enabled root cache Start: unpacking root cache Finish: unpacking root cache INFO: enabled package manager cache Start: cleaning package manager metadata Finish: cleaning package manager metadata INFO: enabled HW Info plugin INFO: Buildroot is handled by package management from host and used with --installroot: rpm-4.20.1-1.fc41.x86_64 rpm-sequoia-1.7.0-2.fc41.x86_64 python3-dnf-4.23.0-1.fc41.noarch python3-dnf-plugins-core-4.10.1-1.fc41.noarch dnf5-5.2.12.0-2.fc41.x86_64 dnf5-plugins-5.2.12.0-2.fc41.x86_64 Finish: chroot init Start: build phase for R-CRAN-abess-0.4.10-1.fc42.copr8929966.src.rpm Start: build setup for R-CRAN-abess-0.4.10-1.fc42.copr8929966.src.rpm Building target platforms: x86_64 Building for target x86_64 warning: %source_date_epoch_from_changelog is set, but %changelog has no entries to take a date from Wrote: /builddir/build/SRPMS/R-CRAN-abess-0.4.10-1.fc42.copr8929966.src.rpm RPM build warnings: %source_date_epoch_from_changelog is set, but %changelog has no entries to take a date from Updating and loading repositories: updates 100% | 971.6 KiB/s | 30.1 KiB | 00m00s fedora 100% | 1.1 MiB/s | 28.0 KiB | 00m00s Copr repository 100% | 26.1 KiB/s | 1.5 KiB | 00m00s Copr repository 100% | 54.4 MiB/s | 13.0 MiB | 00m00s Repositories loaded. Package Arch Version Repository Size Installing: R-CRAN-MASS x86_64 7.3.65-1.fc42.copr8924872 copr_base 1.8 MiB R-CRAN-Matrix x86_64 1.7.3-1.fc42.copr8927562 copr_base 8.2 MiB R-CRAN-Rcpp x86_64 1.0.14-1.fc42.copr8922423 copr_base 8.4 MiB R-CRAN-RcppEigen x86_64 0.3.4.0.2-1.fc42.copr8926104 copr_base 9.0 MiB R-core x86_64 4.5.0-3.fc42~bootstrap copr_base 103.7 MiB R-devel x86_64 4.5.0-3.fc42~bootstrap copr_base 0.0 B Installing dependencies: R-CRAN-lattice x86_64 0.22.7-1.fc42.copr8924871 copr_base 2.0 MiB R-core-devel x86_64 4.5.0-3.fc42~bootstrap copr_base 411.0 KiB R-java x86_64 4.5.0-3.fc42~bootstrap copr_base 0.0 B R-java-devel x86_64 4.5.0-3.fc42~bootstrap copr_base 0.0 B R-littler x86_64 0.3.19-6.fc42 fedora 160.7 KiB R-rpm-macros noarch 1.2.1-12.fc42 fedora 5.6 KiB abattis-cantarell-vf-fonts noarch 0.301-14.fc42 fedora 192.7 KiB alsa-lib x86_64 1.2.14-2.fc42 updates 1.4 MiB annobin-docs noarch 12.88-1.fc42 fedora 98.6 KiB annobin-plugin-gcc x86_64 12.88-1.fc42 fedora 991.7 KiB avahi-libs x86_64 0.9~rc2-2.fc42 fedora 183.6 KiB bzip2-devel x86_64 1.0.8-20.fc42 fedora 309.8 KiB cairo x86_64 1.18.2-3.fc42 fedora 1.8 MiB cmake-filesystem x86_64 3.31.6-2.fc42 fedora 0.0 B cpp x86_64 15.0.1-0.11.fc42 fedora 37.8 MiB cups-filesystem noarch 1:2.4.12-2.fc42 updates 0.0 B cups-libs x86_64 1:2.4.12-2.fc42 updates 618.7 KiB dbus-libs x86_64 1:1.16.0-3.fc42 fedora 349.5 KiB default-fonts-core-sans noarch 4.2-4.fc42 fedora 11.9 KiB desktop-file-utils x86_64 0.28-1.fc42 fedora 218.4 KiB emacs-filesystem noarch 1:30.0-4.fc42 fedora 0.0 B flexiblas x86_64 3.4.5-1.fc42 fedora 50.4 KiB flexiblas-devel x86_64 3.4.5-1.fc42 fedora 4.9 MiB flexiblas-netlib x86_64 3.4.5-1.fc42 fedora 10.9 MiB flexiblas-netlib64 x86_64 3.4.5-1.fc42 fedora 11.0 MiB flexiblas-openblas-openmp x86_64 3.4.5-1.fc42 fedora 39.2 KiB flexiblas-openblas-openmp64 x86_64 3.4.5-1.fc42 fedora 39.2 KiB fontconfig x86_64 2.16.0-2.fc42 fedora 764.7 KiB fonts-filesystem noarch 1:2.0.5-21.fc42 fedora 0.0 B freetype x86_64 2.13.3-2.fc42 fedora 858.2 KiB fribidi x86_64 1.0.16-2.fc42 fedora 194.3 KiB gcc x86_64 15.0.1-0.11.fc42 fedora 110.9 MiB gcc-c++ x86_64 15.0.1-0.11.fc42 fedora 41.3 MiB gcc-gfortran x86_64 15.0.1-0.11.fc42 fedora 40.3 MiB gcc-plugin-annobin x86_64 15.0.1-0.11.fc42 fedora 57.2 KiB glib2 x86_64 2.84.1-1.fc42 updates 14.7 MiB glibc-devel x86_64 2.41-3.fc42 updates 2.3 MiB gnutls x86_64 3.8.9-3.fc42 fedora 3.6 MiB google-noto-fonts-common noarch 20250301-1.fc42 fedora 17.7 KiB google-noto-sans-vf-fonts noarch 20250301-1.fc42 fedora 1.4 MiB graphite2 x86_64 1.3.14-18.fc42 fedora 195.8 KiB harfbuzz x86_64 10.4.0-1.fc42 fedora 2.7 MiB java-21-openjdk x86_64 1:21.0.6.0.7-6.fc42 fedora 1.0 MiB java-21-openjdk-devel x86_64 1:21.0.6.0.7-6.fc42 fedora 11.2 MiB java-21-openjdk-headless x86_64 1:21.0.6.0.7-6.fc42 fedora 201.8 MiB javapackages-filesystem noarch 6.4.0-5.fc42 fedora 2.0 KiB jbigkit-libs x86_64 2.1-31.fc42 fedora 121.4 KiB kernel-headers x86_64 6.14.0-63.fc42 fedora 6.5 MiB less x86_64 668-2.fc42 fedora 405.8 KiB libICE x86_64 1.1.2-2.fc42 fedora 198.4 KiB libRmath x86_64 4.5.0-3.fc42~bootstrap copr_base 242.7 KiB libRmath-devel x86_64 4.5.0-3.fc42~bootstrap copr_base 19.9 KiB libSM x86_64 1.2.5-2.fc42 fedora 105.0 KiB libX11 x86_64 1.8.11-1.fc42 fedora 1.3 MiB libX11-common noarch 1.8.11-1.fc42 fedora 1.2 MiB libX11-devel x86_64 1.8.11-1.fc42 fedora 1.0 MiB libX11-xcb x86_64 1.8.11-1.fc42 fedora 10.9 KiB libXau x86_64 1.0.12-2.fc42 fedora 76.9 KiB libXau-devel x86_64 1.0.12-2.fc42 fedora 7.5 KiB libXcomposite x86_64 0.4.6-5.fc42 fedora 44.4 KiB libXext x86_64 1.3.6-3.fc42 fedora 90.0 KiB libXft x86_64 2.3.8-8.fc42 fedora 168.4 KiB libXi x86_64 1.8.2-2.fc42 fedora 84.6 KiB libXmu x86_64 1.2.1-3.fc42 fedora 199.3 KiB libXrender x86_64 0.9.12-2.fc42 fedora 50.0 KiB libXt x86_64 1.3.1-2.fc42 fedora 429.7 KiB libXtst x86_64 1.2.5-2.fc42 fedora 33.5 KiB libdatrie x86_64 0.2.13-11.fc42 fedora 57.8 KiB libdeflate x86_64 1.23-2.fc42 fedora 122.7 KiB libdeflate-devel x86_64 1.23-2.fc42 fedora 25.9 KiB libfontenc x86_64 1.1.8-3.fc42 fedora 70.9 KiB libgfortran x86_64 15.0.1-0.11.fc42 fedora 3.3 MiB libicu x86_64 76.1-4.fc42 fedora 36.3 MiB libicu-devel x86_64 76.1-4.fc42 fedora 5.0 MiB libjpeg-turbo x86_64 3.1.0-2.fc42 fedora 803.2 KiB liblerc x86_64 4.0.0-8.fc42 fedora 636.1 KiB libmpc x86_64 1.3.1-7.fc42 fedora 164.5 KiB libpng x86_64 2:1.6.44-2.fc42 fedora 241.7 KiB libquadmath x86_64 15.0.1-0.11.fc42 fedora 317.9 KiB libquadmath-devel x86_64 15.0.1-0.11.fc42 fedora 21.9 KiB libstdc++-devel x86_64 15.0.1-0.11.fc42 fedora 16.0 MiB libthai x86_64 0.1.29-10.fc42 fedora 783.4 KiB libtiff x86_64 4.7.0-3.fc42 fedora 619.1 KiB libtirpc x86_64 1.3.6-1.rc3.fc42.2 fedora 199.0 KiB libtirpc-devel x86_64 1.3.6-1.rc3.fc42.2 fedora 251.6 KiB libwebp x86_64 1.5.0-2.fc42 fedora 947.6 KiB libxcb x86_64 1.17.0-5.fc42 fedora 1.1 MiB libxcb-devel x86_64 1.17.0-5.fc42 fedora 2.7 MiB libxcrypt-devel x86_64 4.4.38-7.fc42 updates 30.8 KiB libzstd-devel x86_64 1.5.7-1.fc42 fedora 208.0 KiB lksctp-tools x86_64 1.0.20-2.fc42 fedora 250.3 KiB make x86_64 1:4.4.1-10.fc42 fedora 1.8 MiB mkfontscale x86_64 1.2.3-2.fc42 fedora 45.0 KiB nettle x86_64 3.10.1-1.fc42 fedora 790.5 KiB nspr x86_64 4.36.0-5.fc42 fedora 315.5 KiB nss x86_64 3.109.0-1.fc42 fedora 1.9 MiB nss-softokn x86_64 3.109.0-1.fc42 fedora 1.9 MiB nss-softokn-freebl x86_64 3.109.0-1.fc42 fedora 852.4 KiB nss-sysinit x86_64 3.109.0-1.fc42 fedora 18.1 KiB nss-util x86_64 3.109.0-1.fc42 fedora 204.8 KiB openblas x86_64 0.3.29-1.fc42 fedora 111.7 KiB openblas-openmp x86_64 0.3.29-1.fc42 fedora 43.7 MiB openblas-openmp64 x86_64 0.3.29-1.fc42 fedora 43.9 MiB pango x86_64 1.56.3-1.fc42 fedora 1.0 MiB pcre2-devel x86_64 10.45-1.fc42 fedora 2.1 MiB pcre2-utf16 x86_64 10.45-1.fc42 fedora 626.3 KiB pcre2-utf32 x86_64 10.45-1.fc42 fedora 598.2 KiB pixman x86_64 0.44.2-2.fc42 fedora 674.2 KiB tcl8 x86_64 1:8.6.15-10.fc42 fedora 4.3 MiB tk8 x86_64 1:8.6.15-5.fc42 fedora 3.2 MiB tre x86_64 0.8.0-47.20140228gitc2f5d13.fc42 fedora 75.8 KiB tre-common noarch 0.8.0-47.20140228gitc2f5d13.fc42 fedora 81.0 KiB tre-devel x86_64 0.8.0-47.20140228gitc2f5d13.fc42 fedora 10.7 KiB ttmkfdir x86_64 3.0.9-72.fc42 fedora 118.5 KiB tzdata noarch 2025b-1.fc42 fedora 1.6 MiB tzdata-java noarch 2025b-1.fc42 fedora 100.1 KiB xdg-utils noarch 1.2.1-3.fc42 fedora 346.3 KiB xml-common noarch 0.6.3-66.fc42 fedora 78.4 KiB xorg-x11-fonts-Type1 noarch 7.5-40.fc42 fedora 863.3 KiB xorg-x11-proto-devel noarch 2024.1-4.fc42 fedora 1.7 MiB xz-devel x86_64 1:5.6.3-3.fc42 fedora 255.6 KiB zlib-ng-compat-devel x86_64 2.2.4-3.fc42 fedora 107.0 KiB Transaction Summary: Installing: 128 packages Total size of inbound packages is 271 MiB. Need to download 8 MiB. After this operation, 833 MiB extra will be used (install 833 MiB, remove 0 B). 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Finish: build setup for R-CRAN-abess-0.4.10-1.fc42.copr8929966.src.rpm Start: rpmbuild R-CRAN-abess-0.4.10-1.fc42.copr8929966.src.rpm Building target platforms: x86_64 Building for target x86_64 warning: %source_date_epoch_from_changelog is set, but %changelog has no entries to take a date from Executing(%mkbuilddir): /bin/sh -e /var/tmp/rpm-tmp.gND9d1 Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.Rrc4re + umask 022 + cd /builddir/build/BUILD/R-CRAN-abess-0.4.10-build + cd /builddir/build/BUILD/R-CRAN-abess-0.4.10-build + rm -rf abess + /usr/bin/mkdir -p abess + cd abess + /usr/lib/rpm/rpmuncompress -x /builddir/build/SOURCES/abess_0.4.10.tar.gz + STATUS=0 + '[' 0 -ne 0 ']' + /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w . + find -type f -executable -exec grep -Iq . '{}' ';' -exec sed -i -e '$a\' '{}' ';' + '[' -d abess/src ']' + find abess/src -type f -exec sed -i s@/usr/bin/strip@/usr/bin/true@g '{}' ';' + '[' -d abess/src ']' + find abess/src/Makevars.in abess/src/Makevars.win -type f -exec sed -i s@-g0@@g '{}' ';' + find -type f -executable -exec sed -Ei 's@#!( )*/usr/local/bin@#!/usr/bin@g' '{}' ';' + RPM_EC=0 ++ jobs -p + exit 0 Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.x8QQch + umask 022 + cd /builddir/build/BUILD/R-CRAN-abess-0.4.10-build + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + cd abess + RPM_EC=0 ++ jobs -p + exit 0 Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.joOT0n + umask 022 + cd /builddir/build/BUILD/R-CRAN-abess-0.4.10-build + '[' /builddir/build/BUILD/R-CRAN-abess-0.4.10-build/BUILDROOT '!=' / ']' + rm -rf /builddir/build/BUILD/R-CRAN-abess-0.4.10-build/BUILDROOT ++ dirname /builddir/build/BUILD/R-CRAN-abess-0.4.10-build/BUILDROOT + mkdir -p /builddir/build/BUILD/R-CRAN-abess-0.4.10-build + mkdir /builddir/build/BUILD/R-CRAN-abess-0.4.10-build/BUILDROOT + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + cd abess + mkdir -p /builddir/build/BUILD/R-CRAN-abess-0.4.10-build/BUILDROOT/usr/local/lib/R/library + /usr/bin/R CMD INSTALL -l /builddir/build/BUILD/R-CRAN-abess-0.4.10-build/BUILDROOT/usr/local/lib/R/library abess * installing *source* package ‘abess’ ... ** this is package ‘abess’ version ‘0.4.10’ ** package ‘abess’ successfully unpacked and MD5 sums checked ** using staged installation checking whether the C++ compiler works... yes checking for C++ compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether the compiler supports GNU C++... yes checking whether g++ -std=gnu++17 accepts -g... yes checking for g++ -std=gnu++17 option to enable C++11 features... none needed checking how to run the C++ preprocessor... g++ -std=gnu++17 -E checking for gcc... gcc checking whether the compiler supports GNU C... yes checking whether gcc accepts -g... yes checking for gcc option to enable C11 features... none needed checking how to run the C preprocessor... gcc -E ***************************************************************************************** Spectra library exists. ***************************************************************************************** ***************************************************************************************** Complier code exists in src/ directory. Install R package according to the complier code. ***************************************************************************************** configure: creating ./config.status config.status: creating src/Makevars ** libs using C++ compiler: ‘g++ (GCC) 15.0.1 20250329 (Red Hat 15.0.1-0)’ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I ../inst/include -DR_BUILD -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include -fopenmp -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c RcppExports.cpp -o RcppExports.o In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28, from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ RcppExports.cpp:23:63: required from here 23 | rcpp_result_gen = Rcpp::wrap(sample_by_conf(n, theta, seed)); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ RcppExports.cpp:23:63: required from here 23 | rcpp_result_gen = Rcpp::wrap(sample_by_conf(n, theta, seed)); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ RcppExports.cpp:39:86: required from here 39 | rcpp_result_gen = Rcpp::wrap(Ising_Gibbs(theta, n_sample, burn, skip, value, seed)); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I ../inst/include -DR_BUILD -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include -fopenmp -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c api.cpp -o api.o In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28, from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25, from api.cpp:5: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ utilities.h:42:9: required from here 42 | ic_matrix; /*!< Each value is the information criterion value corrsponding a parameter combination */ | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ utilities.h:42:9: required from here 42 | ic_matrix; /*!< Each value is the information criterion value corrsponding a parameter combination */ | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase, -1, -1> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix, -1, -1>’ 178 | class Matrix | ^~~~~~ utilities.h:46:9: required from here 46 | bd_matrix; /*!< Each value is the sacrfice corrsponding a parameter combination */ | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ utilities.h:201:70: required from here 201 | 2 * lambda * Eigen::MatrixXd::Identity(gsize(i), gsize(i)) + group_XTX(i, 0) / double(n); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue > >’ 50 | template class ReturnByValue | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:316:34: required from ‘class Eigen::MatrixSquareRootReturnValue >’ 316 | template class MatrixSquareRootReturnValue | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ utilities.h:202:26: required from here 202 | lambda_XtX.sqrt().evalTo(phi(i, 0)); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ utilities.h:352:70: required from here 352 | Eigen::VectorXd intercept = Eigen::VectorXd::Ones(n) * coef(0); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ utilities.h:354:52: required from here 354 | Eigen::VectorXd eta = X * (coef.tail(p - 1).eval()) + intercept; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ utilities.h:362:45: required from here 362 | Eigen::VectorXd expeta = eta.array().exp(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ utilities.h:363:45: required from here 363 | Pi = expeta.array() / (one + expeta).array(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ utilities.h:363:52: required from here 363 | Pi = expeta.array() / (one + expeta).array(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ utilities.h:363:52: required from here 363 | Pi = expeta.array() / (one + expeta).array(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ utilities.h:386:62: required from here 386 | Eigen::MatrixXd Xbeta = X * beta + one * coef0.transpose(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ utilities.h:387:23: required from here 387 | pr = Xbeta.array().exp(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ utilities.h:387:28: required from here 387 | pr = Xbeta.array().exp(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ 103 | template class Block | ^~~~~ utilities.h:390:40: required from here 390 | pr.row(i) = pr.row(i) / sumpi(i); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ utilities.h:390:40: required from here 390 | pr.row(i) = pr.row(i) / sumpi(i); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ utilities.h:390:40: required from here 390 | pr.row(i) = pr.row(i) / sumpi(i); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, -1, true>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ 103 | template class Block | ^~~~~ utilities.h:433:21: required from here 433 | X_full.rightCols(X.cols()) = X.eval(); | ~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ 103 | template class Block | ^~~~~ utilities.h:434:15: required from here 434 | X_full.col(0) = Eigen::MatrixXd::Ones(X.rows(), 1); | ~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ utilities.h:434:42: required from here 434 | X_full.col(0) = Eigen::MatrixXd::Ones(X.rows(), 1); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, -1, true> >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, -1>’ 96 | class sparse_matrix_block_impl | ^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Sparse>’ 287 | class BlockImpl,BlockRows,BlockCols,true,Sparse> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ 103 | template class Block | ^~~~~ utilities.h:444:21: required from here 444 | X_full.rightCols(X.cols()) = X.eval(); | ~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ utilities.h:471:46: required from here 471 | beta_full.row(0) = coef0.transpose().eval(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ 103 | template class Block | ^~~~~ utilities.h:472:25: required from here 472 | beta_full.bottomRows(p) = beta.eval(); | ~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ utilities.h:495:39: required from here 495 | coef0 = beta_full.row(0).transpose().eval(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate >, -1, 1>’ 61 | template class Replicate | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::Replicate >, -1, 1> > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Replicate >, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate >, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ utilities.h:518:104: required from here 518 | Eigen::MatrixXd rowwise_add(Eigen::MatrixXd &m, Eigen::VectorXd &v) { return m.rowwise() + v.transpose(); } | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Replicate >, -1, 1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Replicate >, -1, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Replicate >, -1, 1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Replicate >, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate >, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ utilities.h:518:104: required from here 518 | Eigen::MatrixXd rowwise_add(Eigen::MatrixXd &m, Eigen::VectorXd &v) { return m.rowwise() + v.transpose(); } | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ utilities.h:522:45: required from here 522 | return m.rowwise() + ones.transpose() * v; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1>’ 61 | template class Replicate | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1> > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ utilities.h:522:45: required from here 522 | return m.rowwise() + ones.transpose() * v; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ utilities.h:522:45: required from here 522 | return m.rowwise() + ones.transpose() * v; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmGLM.h:134:100: required from here 134 | dbar.block(g_index(i), 0, g_size(i), M) = invphiG * G.block(g_index(i), 0, g_size(i), M); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from ‘class Eigen::Tridiagonalization >’ 92 | >::type DiagonalReturnType; | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ AlgorithmGLM.h:166:49: required from here 166 | for (int i = 0; i < adjoint_eigen_solver.eigenvalues().size(); i++) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ 63 | template class Diagonal | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from ‘class Eigen::Tridiagonalization >’ 97 | >::type SubDiagonalReturnType; | ^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ AlgorithmGLM.h:166:49: required from here 166 | for (int i = 0; i < adjoint_eigen_solver.eigenvalues().size(); i++) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:309:37: required from here 309 | Eigen::VectorXd G = (y - Pi).cwiseProduct(weights); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:316:54: required from here 316 | Eigen::VectorXd W = Pi.cwiseProduct(one - Pi).cwiseProduct(weights); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ AlgorithmGLM.h:334:54: required from here 334 | Eigen::VectorXd logP_0 = (ones - P_1).array().log(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:335:71: required from here 335 | return y.cwiseProduct(logP_1) + (ones - y).cwiseProduct(logP_0); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:335:71: required from here 335 | return y.cwiseProduct(logP_1) + (ones - y).cwiseProduct(logP_0); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:335:71: required from here 335 | return y.cwiseProduct(logP_1) + (ones - y).cwiseProduct(logP_0); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ AlgorithmGLM.h:434:104: required from here 434 | return (y - X * beta - coef0 * one).array().square().sum() / n / 2. + lambda * beta.cwiseAbs2().sum(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:500:48: required from here 500 | d = X.adjoint() * (y - coef0 * one) / double(n); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:500:48: required from here 500 | d = X.adjoint() * (y - coef0 * one) / double(n); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:506:62: required from here 506 | d = (this->XTy_U - XTXbeta - this->XTone_U * coef0) / double(n) - 2 * this->lambda_level * beta; | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:506:79: required from here 506 | d = (this->XTy_U - XTXbeta - this->XTone_U * coef0) / double(n) - 2 * this->lambda_level * beta; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:509:58: required from here 509 | d = (this->XTy_U - XTonecoef0) / double(n); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmGLM.h:523:95: required from here 523 | betabar.segment(g_index(i), g_size(i)) = phiG * beta.segment(g_index(i), g_size(i)); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:598:40: required from here 598 | return y.cwiseProduct(Xbeta) - Ey; | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ AlgorithmGLM.h:663:52: required from here 663 | eta = weight.array() * eta.array().exp(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:663:52: required from here 663 | eta = weight.array() * eta.array().exp(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate, -1, -1>’ 61 | template class Replicate | ^~~~~~~~~ AlgorithmGLM.h:676:41: required from here 676 | h = -cum_eta3.replicate(1, n); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Replicate, -1, -1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Replicate, -1, -1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Replicate, -1, -1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Replicate, -1, -1>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Replicate, -1, -1> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ AlgorithmGLM.h:676:41: required from here 676 | h = -cum_eta3.replicate(1, n); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Replicate, -1, -1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Replicate, -1, -1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Replicate, -1, -1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Replicate, -1, -1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, -1, -1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:677:51: required from here 677 | h = h.cwiseProduct(eta.replicate(1, n)); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:678:31: recursively required by substitution of ‘template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]’ 678 | h = h.cwiseProduct(eta.replicate(1, n).transpose()); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:678:31: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, -1, -1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, -1, -1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, -1, -1> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, -1, -1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, -1, -1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:678:63: required from here 678 | h = h.cwiseProduct(eta.replicate(1, n).transpose()); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ AlgorithmGLM.h:684:68: required from here 684 | h.diagonal() = cum_eta2.cwiseProduct(eta) + h.diagonal(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Diagonal, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Diagonal, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Diagonal, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Diagonal, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Diagonal, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:684:68: required from here 684 | h.diagonal() = cum_eta2.cwiseProduct(eta) + h.diagonal(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:688:67: required from here 688 | g = weight.cwiseProduct(y) - cum_eta2.cwiseProduct(eta); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:749:36: required from here 749 | beta1 = beta0 + step * d; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:803:67: required from here 803 | Eigen::VectorXd ratio = (expeta.cwiseQuotient(cum_expeta)).array().log(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ AlgorithmGLM.h:803:75: required from here 803 | Eigen::VectorXd ratio = (expeta.cwiseQuotient(cum_expeta)).array().log(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ AlgorithmGLM.h:1027:41: required from here 1027 | lambda * beta.cwiseAbs2().sum(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1101:80: required from here 1101 | d = (this->XTy_U - XTXbeta - array_product(this->XTone_U, coef0)) / double(n) - | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1101:93: required from here 1101 | d = (this->XTy_U - XTXbeta - array_product(this->XTone_U, coef0)) / double(n) - | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1105:58: required from here 1105 | d = (this->XTy_U - XTonecoef0) / double(n); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1105:58: required from here 1105 | d = (this->XTy_U - XTonecoef0) / double(n); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmGLM.h:1153:55: required from here 1153 | coef0 = weights.transpose() * y / weights.sum(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1153:55: required from here 1153 | coef0 = weights.transpose() * y / weights.sum(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1198:54: required from here 1198 | loglik0 = (log_Pi.array() * y.array()).sum() - this->lambda_level * beta.cwiseAbs2().sum(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ AlgorithmGLM.h:1203:59: required from here 1203 | double t = 2 * (Pi.array() * (one - Pi).array()).maxCoeff(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1203:61: required from here 1203 | double t = 2 * (Pi.array() * (one - Pi).array()).maxCoeff(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmGLM.h:1217:42: required from here 1217 | beta1 = beta0 + invXTX * XTres; | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1217:42: required from here 1217 | beta1 = beta0 + invXTX * XTres; | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ AlgorithmGLM.h:1225:41: required from here 1225 | log_Pi = Pi.array().log(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1242:68: required from here 1242 | beta0.col(m1) = beta1.col(m1) - beta1.col(M - 1); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ AlgorithmGLM.h:1258:101: required from here 1258 | Eigen::VectorXd PiPj = Pi.col(m1).array() * (one - Pi.col(m1).eval()).array() * weights.array(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1258:119: required from here 1258 | Eigen::VectorXd PiPj = Pi.col(m1).array() * (one - Pi.col(m1).eval()).array() * weights.array(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1, -1, false>, 0>’ 63 | template class Diagonal | ^~~~~~~~ AlgorithmGLM.h:1260:68: required from here 1260 | W.block(m1 * n, m2 * n, n, n).diagonal() = PiPj; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1263:104: required from here 1263 | Eigen::VectorXd PiPj = Pi.col(m1).array() * Pi.col(m2).array() * weights.array(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ AlgorithmGLM.h:1265:69: required from here 1265 | W.block(m1 * n, m2 * n, n, n).diagonal() = -PiPj; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ AlgorithmGLM.h:1295:59: required from here 1295 | Eigen::VectorXd Z = Xbeta + W.ldlt().solve(res); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1300:46: recursively required by substitution of ‘template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ 1300 | beta0_tmp = XTWX.ldlt().solve(XTW * Z); | ~~~~~~~~~~~~~~~~~^~~~~~~~~ AlgorithmGLM.h:1300:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ AlgorithmGLM.h:1300:54: required from here 1300 | beta0_tmp = XTWX.ldlt().solve(XTW * Z); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Solve, 1>, Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Solve, 1>, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Solve, 1>, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Solve, 1>, Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Solve, 1>, Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1364:47: required from here 1364 | Z = Xbeta + W.ldlt().solve(res); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1402:48: required from here 1402 | res.row(i) = res.row(i) * weights(i); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1422:90: required from here 1422 | XGbar.diagonal() = Eigen::VectorXd(XG_new.transpose() * XG) + XGbar.diagonal(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmGLM.h:1434:113: required from here 1434 | d.block(g_index(i), 0, g_size(i), M - 1) * invXGbar + beta.block(g_index(i), 0, g_size(i), M - 1); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ AlgorithmGLM.h:1435:52: required from here 1435 | bd(i) = (temp * XGbar * temp.transpose()).squaredNorm() / g_size(i); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmGLM.h:1435:54: required from here 1435 | bd(i) = (temp * XGbar * temp.transpose()).squaredNorm() / g_size(i); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ AlgorithmGLM.h:1526:66: required from here 1526 | coef0 = (weights.transpose() * y / weights.sum()).array().log(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ AlgorithmGLM.h:1526:71: required from here 1526 | coef0 = (weights.transpose() * y / weights.sum()).array().log(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1527:55: required from here 1527 | coef0 = coef0.array() - coef0(coef0.size() - 1); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1527:55: required from here 1527 | coef0 = coef0.array() - coef0(coef0.size() - 1); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ AlgorithmGLM.h:1561:34: required from here 1561 | return -eta.cwiseInverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ AlgorithmGLM.h:1561:34: required from here 1561 | return -eta.cwiseInverse(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ AlgorithmGLM.h:1567:30: required from here 1567 | return (-eta).array().log().matrix() + eta.cwiseProduct(y); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ AlgorithmGLM.h:1567:36: required from here 1567 | return (-eta).array().log().matrix() + eta.cwiseProduct(y); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ AlgorithmGLM.h:1567:66: required from here 1567 | return (-eta).array().log().matrix() + eta.cwiseProduct(y); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1567:66: required from here 1567 | return (-eta).array().log().matrix() + eta.cwiseProduct(y); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ AlgorithmGLM.h:1654:46: required from here 1654 | g.head(k) = grad_L.colwise().sum(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ AlgorithmGLM.h:1656:43: required from here 1656 | g.tail(p) = grad_L.rowwise().sum().transpose() * X - 2 * this->lambda_level * coef.tail(p).eval(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ AlgorithmGLM.h:1837:55: required from here 1837 | double loss = lambda * beta.col(0).cwiseAbs2().sum(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>, -1, 1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1, 1, true>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ AlgorithmGLM.h:1891:102: required from here 1891 | betabar.segment(g_indeX(i), g_size(i)) = phiG * beta.col(0).segment(g_indeX(i), g_size(i)); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmGLM.h:1891:102: required from here 1891 | betabar.segment(g_indeX(i), g_size(i)) = phiG * beta.col(0).segment(g_indeX(i), g_size(i)); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ 59 | template class RefBase | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:329:77: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ 329 | template class Ref | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/MatOp/DenseSymMatProd.h:45:24: required from ‘class Spectra::DenseSymMatProd’ 45 | ConstGenericMatrix m_mat; | ^~~~~ ../inst/include/Spectra/SymEigsBase.h:46:11: required from ‘class Spectra::SymEigsBase, Spectra::IdentityBOp>’ 46 | using Scalar = typename OpType::Scalar; | ^~~~~~ ../inst/include/Spectra/SymEigsSolver.h:134:7: required from ‘class Spectra::SymEigsSolver >’ 134 | class SymEigsSolver : public SymEigsBase | ^~~~~~~~~~~~~ AlgorithmPCA.h:55:12: required from here 55 | eig.init(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ AlgorithmPCA.h:79:36: required from here 79 | return -beta.transpose() * Y * beta; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmPCA.h:79:40: required from here 79 | return -beta.transpose() * Y * beta; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmPCA.h:79:40: required from here 79 | return -beta.transpose() * Y * beta; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmPCA.h:79:40: required from here 79 | return -beta.transpose() * Y * beta; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ AlgorithmPCA.h:86:37: required from here 86 | VectorXd D = -this->sigma * beta + beta.transpose() * this->sigma * beta * beta; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmPCA.h:86:84: required from here 86 | VectorXd D = -this->sigma * beta + beta.transpose() * this->sigma * beta * beta; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmPCA.h:86:84: required from here 86 | VectorXd D = -this->sigma * beta + beta.transpose() * this->sigma * beta * beta; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmPCA.h:121:62: required from here 121 | MatrixXd centered = X1.rowwise() - X1.colwise().mean(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ AlgorithmPCA.h:122:37: required from here 122 | return centered.adjoint() * centered / (X1.rows() - 1); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmPCA.h:122:62: required from here 122 | return centered.adjoint() * centered / (X1.rows() - 1); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmPCA.h:122:62: required from here 122 | return centered.adjoint() * centered / (X1.rows() - 1); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmPCA.h:273:49: required from here 273 | Y = vec_l * vec_l.transpose() * X; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmPCA.h:273:49: required from here 273 | Y = vec_l * vec_l.transpose() * X; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ Metric.h:295:40: recursively required by substitution of ‘template const Eigen::CwiseBinaryOp, const Eigen::Matrix, const OtherDerived> Eigen::MatrixBase >::cwiseQuotient(const Eigen::MatrixBase&) const [with OtherDerived = ]’ 295 | proba = proba.cwiseQuotient(Eigen::VectorXd::Ones(test_n) + proba); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Metric.h:295:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Metric.h:295:78: required from here 295 | proba = proba.cwiseQuotient(Eigen::VectorXd::Ones(test_n) + proba); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Replicate, -1, -1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Replicate, -1, -1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Replicate, -1, -1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Replicate, -1, -1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, -1, -1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Metric.h:306:69: required from here 306 | proba = proba.cwiseQuotient(proba_rowsum.replicate(1, p)); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >’ 513 | typedef typename _CastType::Scalar NewScalarType; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase >::CastXpr’ 48 | template struct CastXpr { typedef typename internal::cast_return_type, const Derived> >::type Type; }; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase >::CastXpr::Type Eigen::DenseBase >::cast() const [with NewType = double]’ 62 | cast() const | ^~~~ api.cpp:40:27: required from here 40 | return conf.cast(); | ~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ api.cpp:57:107: required from here 57 | weight(num) = 0.5 * (double) (conf.transpose() * theta_off * conf) + (double) (vec_diag.transpose() * conf); | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ api.cpp:63:23: required from here 63 | Eigen::VectorXd::Map(&w[0], weight.size()) = weight; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from api.cpp:21: AlgorithmGLM.h: In instantiation of ‘class abessOrdinal >’: api.cpp:212:90: required from here 212 | is_warm_start, exchange_num, always_select, splicing_type, sub_search); | ^ AlgorithmGLM.h:57:29: warning: ‘Eigen::MatrixXd _abessGLM::gradient(T4&, T1&, Eigen::VectorXd&, T2&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ was hidden [-Woverloaded-virtual=] 57 | virtual Eigen::MatrixXd gradient(T4 &X_full, T1 &y, Eigen::VectorXd &weights, T2 &beta_full) { | ^~~~~~~~ AlgorithmGLM.h:1607:10: note: by ‘bool abessOrdinal::gradient(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXd&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1607 | bool gradient(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, Eigen::VectorXd &coef0, | ^~~~~~~~ AlgorithmGLM.h: In instantiation of ‘class abessOrdinal >’: api.cpp:269:90: required from here 269 | is_warm_start, exchange_num, always_select, splicing_type, sub_search); | ^ AlgorithmGLM.h:57:29: warning: ‘Eigen::MatrixXd _abessGLM::gradient(T4&, T1&, Eigen::VectorXd&, T2&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ was hidden [-Woverloaded-virtual=] 57 | virtual Eigen::MatrixXd gradient(T4 &X_full, T1 &y, Eigen::VectorXd &weights, T2 &beta_full) { | ^~~~~~~~ AlgorithmGLM.h:1607:10: note: by ‘bool abessOrdinal::gradient(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1607 | bool gradient(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, Eigen::VectorXd &coef0, | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ api.cpp:456:72: required from here 456 | Eigen::MatrixXd temp = beta_next * beta_next.transpose(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ api.cpp:461:45: required from here 461 | sigma += temp1 * temp - temp1 - temp1.transpose(); | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, const Eigen::Transpose > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, const Eigen::Transpose > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, const Eigen::Transpose > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, const Eigen::Transpose > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ api.cpp:461:69: required from here 461 | sigma += temp1 * temp - temp1 - temp1.transpose(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ api.cpp:541:54: required from here 541 | sparse_x = sparse_x - sparse_x * temp; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product, Eigen::Matrix, 0> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product, Eigen::Matrix, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ api.cpp:541:54: required from here 541 | sparse_x = sparse_x - sparse_x * temp; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ api.cpp: In function ‘Rcpp::List abessPCA_API(Eigen::MatrixXd, int, int, int, Eigen::VectorXd, Eigen::MatrixXd, int, int, int, bool, int, double, int, Eigen::MatrixXi, int, int, int, Eigen::VectorXi, Eigen::VectorXi, bool, int, bool, int, int, Eigen::VectorXi, int, Eigen::VectorXi)’: api.cpp:360:9: warning: unused variable ‘lambda_min’ [-Wunused-variable] 360 | int lambda_min = 0, lambda_max = 0, nlambda = 100; | ^~~~~~~~~~ api.cpp:360:25: warning: unused variable ‘lambda_max’ [-Wunused-variable] 360 | int lambda_min = 0, lambda_max = 0, nlambda = 100; | ^~~~~~~~~~ api.cpp:360:41: warning: unused variable ‘nlambda’ [-Wunused-variable] 360 | int lambda_min = 0, lambda_max = 0, nlambda = 100; | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::OuterStride<> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::OuterStride<> > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::OuterStride<> >, 0>’ 50 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:83:34: required from ‘class Eigen::internal::SparseRefBase, 0, Eigen::OuterStride<> > >’ 83 | template class SparseRefBase | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:177:7: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ 177 | class Ref, Options, StrideType> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = -1; BlockType = Eigen::Block, -1, -1, true>]’ 128 | Ref > tmp(other.derived()); | ^~~ utilities.h:444:41: required from here 444 | X_full.rightCols(X.cols()) = X.eval(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, -1, 1, true, Eigen::Sparse>’ 17 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:194:85: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = -1; BlockType = Eigen::Block, -1, -1, true>]’ 194 | StorageIndex nnz_k = internal::convert_index(tmp.innerVector(k).nonZeros()); | ~~~~~~~~~~~~~~~^~~ utilities.h:444:41: required from here 444 | X_full.rightCols(X.cols()) = X.eval(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:167:44: required from ‘struct Eigen::internal::evaluator > >’ 167 | typedef typename PlainObjectType::Scalar Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:273:8: required from ‘struct Eigen::internal::evaluator >’ 273 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:96:8: required from ‘struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 6, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 96 | struct product_evaluator, ProductTag, LhsShape, RhsShape> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ api.cpp:57:64: required from here 57 | weight(num) = 0.5 * (double) (conf.transpose() * theta_off * conf) + (double) (vec_diag.transpose() * conf); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ workflow.h:206:73: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 206 | beta_init = beta_init + result_list[j].beta_matrix(ind) / Kfold; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ api.cpp:287:98: required from here 287 | out_result = abessWorkflow( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 288 | x, y_vec, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, ic_coef, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 289 | Kfold, parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 290 | beta_low, beta_high, algorithm_list_uni_dense); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ workflow.h:206:39: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 206 | beta_init = beta_init + result_list[j].beta_matrix(ind) / Kfold; | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ api.cpp:287:98: required from here 287 | out_result = abessWorkflow( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 288 | x, y_vec, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, ic_coef, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 289 | Kfold, parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 290 | beta_low, beta_high, algorithm_list_uni_dense); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from api.cpp:24: workflow.h: In instantiation of ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: api.cpp:287:98: required from here 287 | out_result = abessWorkflow( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 288 | x, y_vec, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, ic_coef, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 289 | Kfold, parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 290 | beta_low, beta_high, algorithm_list_uni_dense); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ workflow.h:237:12: warning: unused variable ‘best_support_size’ [-Wunused-variable] 237 | double best_support_size = parameters.sequence(min_loss_index).support_size; | ^~~~~~~~~~~~~~~~~ workflow.h:242:38: warning: variable ‘best_test_loss’ set but not used [-Wunused-but-set-variable] 242 | double best_train_loss, best_ic, best_test_loss; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ workflow.h:206:73: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 206 | beta_init = beta_init + result_list[j].beta_matrix(ind) / Kfold; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ api.cpp:292:107: required from here 292 | out_result = abessWorkflow( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 293 | x, y, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, ic_coef, Kfold, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 294 | parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, A_init, beta_low, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 295 | beta_high, algorithm_list_mul_dense); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ workflow.h:206:39: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 206 | beta_init = beta_init + result_list[j].beta_matrix(ind) / Kfold; | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ api.cpp:292:107: required from here 292 | out_result = abessWorkflow( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 293 | x, y, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, ic_coef, Kfold, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 294 | parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, A_init, beta_low, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 295 | beta_high, algorithm_list_mul_dense); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ workflow.h: In instantiation of ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: api.cpp:292:107: required from here 292 | out_result = abessWorkflow( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 293 | x, y, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, ic_coef, Kfold, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 294 | parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, A_init, beta_low, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 295 | beta_high, algorithm_list_mul_dense); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ workflow.h:237:12: warning: unused variable ‘best_support_size’ [-Wunused-variable] 237 | double best_support_size = parameters.sequence(min_loss_index).support_size; | ^~~~~~~~~~~~~~~~~ workflow.h:242:38: warning: variable ‘best_test_loss’ set but not used [-Wunused-but-set-variable] 242 | double best_train_loss, best_ic, best_test_loss; | ^~~~~~~~~~~~~~ workflow.h: In instantiation of ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: api.cpp:317:110: required from here 317 | out_result = abessWorkflow>( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 318 | sparse_x, y_vec, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 319 | ic_coef, Kfold, parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 320 | A_init, beta_low, beta_high, algorithm_list_uni_sparse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ workflow.h:237:12: warning: unused variable ‘best_support_size’ [-Wunused-variable] 237 | double best_support_size = parameters.sequence(min_loss_index).support_size; | ^~~~~~~~~~~~~~~~~ workflow.h:242:38: warning: variable ‘best_test_loss’ set but not used [-Wunused-but-set-variable] 242 | double best_train_loss, best_ic, best_test_loss; | ^~~~~~~~~~~~~~ workflow.h: In instantiation of ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: api.cpp:322:119: required from here 322 | out_result = abessWorkflow>( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 323 | sparse_x, y, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, ic_coef, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 324 | Kfold, parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 325 | beta_low, beta_high, algorithm_list_mul_sparse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ workflow.h:237:12: warning: unused variable ‘best_support_size’ [-Wunused-variable] 237 | double best_support_size = parameters.sequence(min_loss_index).support_size; | ^~~~~~~~~~~~~~~~~ workflow.h:242:38: warning: variable ‘best_test_loss’ set but not used [-Wunused-but-set-variable] 242 | double best_train_loss, best_ic, best_test_loss; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:245:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::SparseMatrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::IteratorBased, Eigen::internal::IndexBased, double, double>’ 245 | typedef typename evaluator::InnerIterator LhsIterator; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::SparseMatrix, const Eigen::Product, Eigen::Matrix, 0> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1181 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ api.cpp:541:54: required from here 541 | sparse_x = sparse_x - sparse_x * temp; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:364:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ 364 | struct evaluator, Options, StrideType> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:45:21: required from ‘Eigen::Index Eigen::BlockImpl::nonZeros() const [with XprType = Eigen::Ref, 0, Eigen::OuterStride<> >; int BlockRows = -1; int BlockCols = 1; Eigen::Index = long int]’ 45 | EvaluatorType matEval(m_matrix); | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:194:97: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = -1; BlockType = Eigen::Block, -1, -1, true>]’ 194 | StorageIndex nnz_k = internal::convert_index(tmp.innerVector(k).nonZeros()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ utilities.h:444:41: required from here 444 | X_full.rightCols(X.cols()) = X.eval(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Block, 1, -1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ api.cpp:99:36: required from here 99 | foo = sample(i) * (sample.dot(theta.row(i)) - theta(i, i) * sample(i) + theta(i, i)); | ~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Block, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Block, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Block, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Block, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Block, 1, -1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ api.cpp:99:36: required from here 99 | foo = sample(i) * (sample.dot(theta.row(i)) - theta(i, i) * sample(i) + theta(i, i)); | ~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from api.cpp:20: Algorithm.h: In instantiation of ‘void Algorithm::fit(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: workflow.h:218:49: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 218 | algorithm_list[algorithm_index]->fit(data.x, data.y, data.weight, data.g_index, data.g_size, data.n, data.p, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 219 | data.g_num); | ~~~~~~~~~~~ api.cpp:287:98: required from here 287 | out_result = abessWorkflow( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 288 | x, y_vec, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, ic_coef, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 289 | Kfold, parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 290 | beta_low, beta_high, algorithm_list_uni_dense); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:247:18: warning: unused variable ‘success’ [-Wunused-variable] 247 | bool success = this->primary_model_fit(train_x, train_y, train_weight, this->beta, this->coef0, DBL_MAX, | ^~~~~~~ Algorithm.h:281:14: warning: unused variable ‘success’ [-Wunused-variable] 281 | bool success = | ^~~~~~~ Algorithm.h: In instantiation of ‘void Algorithm::fit(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: workflow.h:218:49: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 218 | algorithm_list[algorithm_index]->fit(data.x, data.y, data.weight, data.g_index, data.g_size, data.n, data.p, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 219 | data.g_num); | ~~~~~~~~~~~ api.cpp:292:107: required from here 292 | out_result = abessWorkflow( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 293 | x, y, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, ic_coef, Kfold, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 294 | parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, A_init, beta_low, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 295 | beta_high, algorithm_list_mul_dense); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:247:18: warning: unused variable ‘success’ [-Wunused-variable] 247 | bool success = this->primary_model_fit(train_x, train_y, train_weight, this->beta, this->coef0, DBL_MAX, | ^~~~~~~ Algorithm.h:281:14: warning: unused variable ‘success’ [-Wunused-variable] 281 | bool success = | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ utilities.h:319:21: required from ‘void restore_for_normal(T2&, T3&, Eigen::Matrix&, Eigen::Matrix&, bool, int, int, Eigen::VectorXd, T3, Eigen::VectorXd) [with T2 = Eigen::Matrix; T3 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 319 | beta = beta * sqrt(double(n)); | ~~~~~^~~~~~~~~~~~~~~~~ workflow.h:252:31: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 252 | restore_for_normal(best_beta, best_coef0, beta_matrix, coef0_matrix, sparse_matrix, data.normalize_type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | data.n, data.x_mean, data.y_mean, data.x_norm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ api.cpp:292:107: required from here 292 | out_result = abessWorkflow( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 293 | x, y, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, ic_coef, Kfold, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 294 | parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, A_init, beta_low, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 295 | beta_high, algorithm_list_mul_dense); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Algorithm.h: In instantiation of ‘void Algorithm::fit(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: workflow.h:218:49: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 218 | algorithm_list[algorithm_index]->fit(data.x, data.y, data.weight, data.g_index, data.g_size, data.n, data.p, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 219 | data.g_num); | ~~~~~~~~~~~ api.cpp:317:110: required from here 317 | out_result = abessWorkflow>( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 318 | sparse_x, y_vec, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 319 | ic_coef, Kfold, parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 320 | A_init, beta_low, beta_high, algorithm_list_uni_sparse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:247:18: warning: unused variable ‘success’ [-Wunused-variable] 247 | bool success = this->primary_model_fit(train_x, train_y, train_weight, this->beta, this->coef0, DBL_MAX, | ^~~~~~~ Algorithm.h:281:14: warning: unused variable ‘success’ [-Wunused-variable] 281 | bool success = | ^~~~~~~ Algorithm.h: In instantiation of ‘void Algorithm::fit(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: workflow.h:218:49: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 218 | algorithm_list[algorithm_index]->fit(data.x, data.y, data.weight, data.g_index, data.g_size, data.n, data.p, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 219 | data.g_num); | ~~~~~~~~~~~ api.cpp:322:119: required from here 322 | out_result = abessWorkflow>( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 323 | sparse_x, y, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, ic_coef, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 324 | Kfold, parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 325 | beta_low, beta_high, algorithm_list_mul_sparse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:247:18: warning: unused variable ‘success’ [-Wunused-variable] 247 | bool success = this->primary_model_fit(train_x, train_y, train_weight, this->beta, this->coef0, DBL_MAX, | ^~~~~~~ Algorithm.h:281:14: warning: unused variable ‘success’ [-Wunused-variable] 281 | bool success = | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Metric.h:293:63: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 293 | Eigen::VectorXd proba = test_X_A * beta_A + coef0 * Eigen::VectorXd::Ones(test_n); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ path.h:98:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 98 | metric->test_loss(test_x, test_y, test_weight, g_index, g_size, test_n, p, N, algorithm); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 137 | sequential_path_cv(data, algorithm_list[i], metric, parameters, early_stop, i, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 138 | result_list[i]); | ~~~~~~~~~~~~~~~ api.cpp:287:98: required from here 287 | out_result = abessWorkflow( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 288 | x, y_vec, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, ic_coef, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 289 | Kfold, parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 290 | beta_low, beta_high, algorithm_list_uni_dense); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Metric.h:293:55: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 293 | Eigen::VectorXd proba = test_X_A * beta_A + coef0 * Eigen::VectorXd::Ones(test_n); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ path.h:98:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 98 | metric->test_loss(test_x, test_y, test_weight, g_index, g_size, test_n, p, N, algorithm); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 137 | sequential_path_cv(data, algorithm_list[i], metric, parameters, early_stop, i, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 138 | result_list[i]); | ~~~~~~~~~~~~~~~ api.cpp:287:98: required from here 287 | out_result = abessWorkflow( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 288 | x, y_vec, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, ic_coef, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 289 | Kfold, parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 290 | beta_low, beta_high, algorithm_list_uni_dense); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ 103 | template class Block | ^~~~~ Metric.h:340:63: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 340 | Eigen::VectorXd test_y_single = test_y.col(i); | ~~~~~~~~~~^~~ path.h:98:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 98 | metric->test_loss(test_x, test_y, test_weight, g_index, g_size, test_n, p, N, algorithm); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 137 | sequential_path_cv(data, algorithm_list[i], metric, parameters, early_stop, i, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 138 | result_list[i]); | ~~~~~~~~~~~~~~~ api.cpp:287:98: required from here 287 | out_result = abessWorkflow( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 288 | x, y_vec, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, ic_coef, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 289 | Kfold, parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 290 | beta_low, beta_high, algorithm_list_uni_dense); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Algorithm.h: In instantiation of ‘void Algorithm::final_fitting(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, int, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: Algorithm.h:310:15: required from ‘void Algorithm::fit(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 310 | this->final_fitting(train_x, train_y, train_weight, A, g_index, g_size, train_n, N); | ~~~~~~^~~~~~~~~~~~~ workflow.h:218:49: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 218 | algorithm_list[algorithm_index]->fit(data.x, data.y, data.weight, data.g_index, data.g_size, data.n, data.p, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 219 | data.g_num); | ~~~~~~~~~~~ api.cpp:287:98: required from here 287 | out_result = abessWorkflow( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 288 | x, y_vec, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, ic_coef, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 289 | Kfold, parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 290 | beta_low, beta_high, algorithm_list_uni_dense); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:606:14: warning: unused variable ‘success’ [-Wunused-variable] 606 | bool success = | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ Metric.h:293:63: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 293 | Eigen::VectorXd proba = test_X_A * beta_A + coef0 * Eigen::VectorXd::Ones(test_n); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ path.h:98:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 98 | metric->test_loss(test_x, test_y, test_weight, g_index, g_size, test_n, p, N, algorithm); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 137 | sequential_path_cv(data, algorithm_list[i], metric, parameters, early_stop, i, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 138 | result_list[i]); | ~~~~~~~~~~~~~~~ api.cpp:292:107: required from here 292 | out_result = abessWorkflow( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 293 | x, y, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, ic_coef, Kfold, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 294 | parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, A_init, beta_low, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 295 | beta_high, algorithm_list_mul_dense); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Metric.h:293:55: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 293 | Eigen::VectorXd proba = test_X_A * beta_A + coef0 * Eigen::VectorXd::Ones(test_n); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ path.h:98:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 98 | metric->test_loss(test_x, test_y, test_weight, g_index, g_size, test_n, p, N, algorithm); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 137 | sequential_path_cv(data, algorithm_list[i], metric, parameters, early_stop, i, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 138 | result_list[i]); | ~~~~~~~~~~~~~~~ api.cpp:292:107: required from here 292 | out_result = abessWorkflow( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 293 | x, y, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, ic_coef, Kfold, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 294 | parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, A_init, beta_low, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 295 | beta_high, algorithm_list_mul_dense); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Algorithm.h: In instantiation of ‘void Algorithm::final_fitting(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, int, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: Algorithm.h:310:15: required from ‘void Algorithm::fit(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 310 | this->final_fitting(train_x, train_y, train_weight, A, g_index, g_size, train_n, N); | ~~~~~~^~~~~~~~~~~~~ workflow.h:218:49: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 218 | algorithm_list[algorithm_index]->fit(data.x, data.y, data.weight, data.g_index, data.g_size, data.n, data.p, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 219 | data.g_num); | ~~~~~~~~~~~ api.cpp:292:107: required from here 292 | out_result = abessWorkflow( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 293 | x, y, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, ic_coef, Kfold, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 294 | parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, A_init, beta_low, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 295 | beta_high, algorithm_list_mul_dense); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:606:14: warning: unused variable ‘success’ [-Wunused-variable] 606 | bool success = | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, -1, -1, true> > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:549:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, true>, Eigen::internal::IteratorBased, double>’ 549 | struct unary_evaluator,BlockRows,BlockCols,true>, IteratorBased> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from ‘struct Eigen::internal::block_evaluator, -1, -1, true, false>’ 1087 | struct block_evaluator | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true> >’ 1034 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 687 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ screening.h:45:37: required from ‘Eigen::VectorXi screening(Data&, std::vector*>, int, int&, double, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix]’ 45 | T4 x_tmp = data.x.middleCols(g_index(i), p_tmp); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ workflow.h:109:48: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 109 | screening_A = screening(data, algorithm_list, screening_size, beta_size, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 110 | parameters.lambda_list(0), A_init); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ api.cpp:317:110: required from here 317 | out_result = abessWorkflow>( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 318 | sparse_x, y_vec, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 319 | ic_coef, Kfold, parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 320 | A_init, beta_low, beta_high, algorithm_list_uni_sparse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:277: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 687 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ screening.h:45:37: required from ‘Eigen::VectorXi screening(Data&, std::vector*>, int, int&, double, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix]’ 45 | T4 x_tmp = data.x.middleCols(g_index(i), p_tmp); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ workflow.h:109:48: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 109 | screening_A = screening(data, algorithm_list, screening_size, beta_size, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 110 | parameters.lambda_list(0), A_init); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ api.cpp:317:110: required from here 317 | out_result = abessWorkflow>( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 318 | sparse_x, y_vec, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 319 | ic_coef, Kfold, parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 320 | A_init, beta_low, beta_high, algorithm_list_uni_sparse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ Metric.h:293:46: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 293 | Eigen::VectorXd proba = test_X_A * beta_A + coef0 * Eigen::VectorXd::Ones(test_n); | ~~~~~~~~~^~~~~~~~ path.h:98:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix]’ 98 | metric->test_loss(test_x, test_y, test_weight, g_index, g_size, test_n, p, N, algorithm); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 137 | sequential_path_cv(data, algorithm_list[i], metric, parameters, early_stop, i, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 138 | result_list[i]); | ~~~~~~~~~~~~~~~ api.cpp:317:110: required from here 317 | out_result = abessWorkflow>( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 318 | sparse_x, y_vec, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 319 | ic_coef, Kfold, parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 320 | A_init, beta_low, beta_high, algorithm_list_uni_sparse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Metric.h:293:55: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 293 | Eigen::VectorXd proba = test_X_A * beta_A + coef0 * Eigen::VectorXd::Ones(test_n); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ path.h:98:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix]’ 98 | metric->test_loss(test_x, test_y, test_weight, g_index, g_size, test_n, p, N, algorithm); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 137 | sequential_path_cv(data, algorithm_list[i], metric, parameters, early_stop, i, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 138 | result_list[i]); | ~~~~~~~~~~~~~~~ api.cpp:317:110: required from here 317 | out_result = abessWorkflow>( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 318 | sparse_x, y_vec, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 319 | ic_coef, Kfold, parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 320 | A_init, beta_low, beta_high, algorithm_list_uni_sparse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ 96 | class sparse_matrix_block_impl | ^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ 287 | class BlockImpl,BlockRows,BlockCols,true,Sparse> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ 103 | template class Block | ^~~~~ utilities.h:162:22: required from ‘T4 X_seg(T4&, int, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix]’ 162 | X_new.col(k) = X.col(ind(k)); | ~~~~~~~~~^~~ Algorithm.h:272:23: required from ‘void Algorithm::fit(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 272 | T4 X_A = X_seg(train_x, train_n, A_ind, this->model_type); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ workflow.h:218:49: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 218 | algorithm_list[algorithm_index]->fit(data.x, data.y, data.weight, data.g_index, data.g_size, data.n, data.p, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 219 | data.g_num); | ~~~~~~~~~~~ api.cpp:317:110: required from here 317 | out_result = abessWorkflow>( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 318 | sparse_x, y_vec, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 319 | ic_coef, Kfold, parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 320 | A_init, beta_low, beta_high, algorithm_list_uni_sparse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Algorithm.h: In instantiation of ‘void Algorithm::final_fitting(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, int, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: Algorithm.h:310:15: required from ‘void Algorithm::fit(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 310 | this->final_fitting(train_x, train_y, train_weight, A, g_index, g_size, train_n, N); | ~~~~~~^~~~~~~~~~~~~ workflow.h:218:49: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 218 | algorithm_list[algorithm_index]->fit(data.x, data.y, data.weight, data.g_index, data.g_size, data.n, data.p, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 219 | data.g_num); | ~~~~~~~~~~~ api.cpp:317:110: required from here 317 | out_result = abessWorkflow>( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 318 | sparse_x, y_vec, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 319 | ic_coef, Kfold, parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 320 | A_init, beta_low, beta_high, algorithm_list_uni_sparse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:606:14: warning: unused variable ‘success’ [-Wunused-variable] 606 | bool success = | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ Metric.h:293:55: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 293 | Eigen::VectorXd proba = test_X_A * beta_A + coef0 * Eigen::VectorXd::Ones(test_n); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ path.h:98:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix]’ 98 | metric->test_loss(test_x, test_y, test_weight, g_index, g_size, test_n, p, N, algorithm); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 137 | sequential_path_cv(data, algorithm_list[i], metric, parameters, early_stop, i, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 138 | result_list[i]); | ~~~~~~~~~~~~~~~ api.cpp:322:119: required from here 322 | out_result = abessWorkflow>( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 323 | sparse_x, y, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, ic_coef, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 324 | Kfold, parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 325 | beta_low, beta_high, algorithm_list_mul_sparse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Algorithm.h: In instantiation of ‘void Algorithm::final_fitting(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, int, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: Algorithm.h:310:15: required from ‘void Algorithm::fit(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 310 | this->final_fitting(train_x, train_y, train_weight, A, g_index, g_size, train_n, N); | ~~~~~~^~~~~~~~~~~~~ workflow.h:218:49: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 218 | algorithm_list[algorithm_index]->fit(data.x, data.y, data.weight, data.g_index, data.g_size, data.n, data.p, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 219 | data.g_num); | ~~~~~~~~~~~ api.cpp:322:119: required from here 322 | out_result = abessWorkflow>( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 323 | sparse_x, y, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, ic_coef, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 324 | Kfold, parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 325 | beta_low, beta_high, algorithm_list_mul_sparse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:606:14: warning: unused variable ‘success’ [-Wunused-variable] 606 | bool success = | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ api.cpp:57:64: required from here 57 | weight(num) = 0.5 * (double) (conf.transpose() * theta_off * conf) + (double) (vec_diag.transpose() * conf); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ api.cpp:57:64: required from here 57 | weight(num) = 0.5 * (double) (conf.transpose() * theta_off * conf) + (double) (vec_diag.transpose() * conf); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ api.cpp:57:105: required from here 57 | weight(num) = 0.5 * (double) (conf.transpose() * theta_off * conf) + (double) (vec_diag.transpose() * conf); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ api.cpp:57:105: required from here 57 | weight(num) = 0.5 * (double) (conf.transpose() * theta_off * conf) + (double) (vec_diag.transpose() * conf); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, const Eigen::Block, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, const Eigen::Block, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, const Eigen::Block, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Block, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Block, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Block, 1, -1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ api.cpp:99:36: required from here 99 | foo = sample(i) * (sample.dot(theta.row(i)) - theta(i, i) * sample(i) + theta(i, i)); | ~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, -1, 1, true> >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor, -1, 1, true>, 0>; Derived = Eigen::Block, -1, 1, true>]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:323:14: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = int; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 323 | this->visit(minVisitor); | ~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:496:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with IndexType = int; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 496 | return minCoeff(index); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ workflow.h:178:34: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 178 | ic_matrix.col(0).minCoeff(&min_loss_index); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ api.cpp:287:98: required from here 287 | out_result = abessWorkflow( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 288 | x, y_vec, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, ic_coef, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 289 | Kfold, parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 290 | beta_low, beta_high, algorithm_list_uni_dense); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ Algorithm.h: In instantiation of ‘bool Algorithm::splicing(T4&, T1&, Eigen::VectorXi&, Eigen::VectorXi&, int&, T2&, T3&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, double, double&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’: Algorithm.h:427:39: required from ‘void Algorithm::get_A(T4&, T1&, Eigen::VectorXi&, Eigen::VectorXi&, int&, T2&, T3&, Eigen::VectorXd&, int, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, double, double&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 427 | bool exchange = this->splicing(*X_U, y, A_U, I_U, C_max, beta_U, coef0, bd_U, weights, g_index_U, | ~~~~~~^~~~~~~~ Algorithm.h:304:15: required from ‘void Algorithm::fit(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 304 | this->get_A(train_x, train_y, A, I, C_max, this->beta, this->coef0, this->bd, T0, train_weight, g_index, g_size, | ~~~~~~^~~~~ workflow.h:218:49: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 218 | algorithm_list[algorithm_index]->fit(data.x, data.y, data.weight, data.g_index, data.g_size, data.n, data.p, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 219 | data.g_num); | ~~~~~~~~~~~ api.cpp:287:98: required from here 287 | out_result = abessWorkflow( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 288 | x, y_vec, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, ic_coef, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 289 | Kfold, parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 290 | beta_low, beta_high, algorithm_list_uni_dense); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:528:18: warning: unused variable ‘success’ [-Wunused-variable] 528 | bool success = this->primary_model_fit(X_A_exchage, y, weights, beta_A_exchange, coef0_A_exchange, | ^~~~~~~ Algorithm.h: In instantiation of ‘bool Algorithm::splicing(T4&, T1&, Eigen::VectorXi&, Eigen::VectorXi&, int&, T2&, T3&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, double, double&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’: Algorithm.h:427:39: required from ‘void Algorithm::get_A(T4&, T1&, Eigen::VectorXi&, Eigen::VectorXi&, int&, T2&, T3&, Eigen::VectorXd&, int, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, double, double&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 427 | bool exchange = this->splicing(*X_U, y, A_U, I_U, C_max, beta_U, coef0, bd_U, weights, g_index_U, | ~~~~~~^~~~~~~~ Algorithm.h:304:15: required from ‘void Algorithm::fit(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 304 | this->get_A(train_x, train_y, A, I, C_max, this->beta, this->coef0, this->bd, T0, train_weight, g_index, g_size, | ~~~~~~^~~~~ workflow.h:218:49: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 218 | algorithm_list[algorithm_index]->fit(data.x, data.y, data.weight, data.g_index, data.g_size, data.n, data.p, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 219 | data.g_num); | ~~~~~~~~~~~ api.cpp:292:107: required from here 292 | out_result = abessWorkflow( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 293 | x, y, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, ic_coef, Kfold, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 294 | parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, A_init, beta_low, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 295 | beta_high, algorithm_list_mul_dense); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:528:18: warning: unused variable ‘success’ [-Wunused-variable] 528 | bool success = this->primary_model_fit(X_A_exchage, y, weights, beta_A_exchange, coef0_A_exchange, | ^~~~~~~ Algorithm.h: In instantiation of ‘bool Algorithm::splicing(T4&, T1&, Eigen::VectorXi&, Eigen::VectorXi&, int&, T2&, T3&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, double, double&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’: Algorithm.h:427:39: required from ‘void Algorithm::get_A(T4&, T1&, Eigen::VectorXi&, Eigen::VectorXi&, int&, T2&, T3&, Eigen::VectorXd&, int, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, double, double&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 427 | bool exchange = this->splicing(*X_U, y, A_U, I_U, C_max, beta_U, coef0, bd_U, weights, g_index_U, | ~~~~~~^~~~~~~~ Algorithm.h:304:15: required from ‘void Algorithm::fit(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 304 | this->get_A(train_x, train_y, A, I, C_max, this->beta, this->coef0, this->bd, T0, train_weight, g_index, g_size, | ~~~~~~^~~~~ workflow.h:218:49: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 218 | algorithm_list[algorithm_index]->fit(data.x, data.y, data.weight, data.g_index, data.g_size, data.n, data.p, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 219 | data.g_num); | ~~~~~~~~~~~ api.cpp:317:110: required from here 317 | out_result = abessWorkflow>( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 318 | sparse_x, y_vec, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 319 | ic_coef, Kfold, parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 320 | A_init, beta_low, beta_high, algorithm_list_uni_sparse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:528:18: warning: unused variable ‘success’ [-Wunused-variable] 528 | bool success = this->primary_model_fit(X_A_exchage, y, weights, beta_A_exchange, coef0_A_exchange, | ^~~~~~~ Algorithm.h: In instantiation of ‘bool Algorithm::splicing(T4&, T1&, Eigen::VectorXi&, Eigen::VectorXi&, int&, T2&, T3&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, double, double&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’: Algorithm.h:427:39: required from ‘void Algorithm::get_A(T4&, T1&, Eigen::VectorXi&, Eigen::VectorXi&, int&, T2&, T3&, Eigen::VectorXd&, int, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, double, double&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 427 | bool exchange = this->splicing(*X_U, y, A_U, I_U, C_max, beta_U, coef0, bd_U, weights, g_index_U, | ~~~~~~^~~~~~~~ Algorithm.h:304:15: required from ‘void Algorithm::fit(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 304 | this->get_A(train_x, train_y, A, I, C_max, this->beta, this->coef0, this->bd, T0, train_weight, g_index, g_size, | ~~~~~~^~~~~ workflow.h:218:49: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 218 | algorithm_list[algorithm_index]->fit(data.x, data.y, data.weight, data.g_index, data.g_size, data.n, data.p, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 219 | data.g_num); | ~~~~~~~~~~~ api.cpp:322:119: required from here 322 | out_result = abessWorkflow>( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 323 | sparse_x, y, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, ic_coef, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 324 | Kfold, parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 325 | beta_low, beta_high, algorithm_list_mul_sparse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Algorithm.h:528:18: warning: unused variable ‘success’ [-Wunused-variable] 528 | bool success = this->primary_model_fit(X_A_exchage, y, weights, beta_A_exchange, coef0_A_exchange, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::Matrix; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Matrix; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Matrix; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Matrix]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, -1, true>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ utilities.h:433:41: required from here 433 | X_full.rightCols(X.cols()) = X.eval(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Matrix; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Matrix; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Matrix; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Matrix]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ utilities.h:459:35: required from here 459 | beta_full.tail(p) = beta.eval(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Matrix; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Matrix; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Matrix; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Matrix]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ utilities.h:472:41: required from here 472 | beta_full.bottomRows(p) = beta.eval(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:478:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 478 | return Scalar(derived().redux(Eigen::internal::scalar_sum_op())) / Scalar(this->size()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ path.h:185:36: required from ‘void gs_path(Data&, std::vector*>, Metric*, Parameters&, Eigen::VectorXi&, std::vector >&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 185 | loss_l = loss_list.mean(); | ~~~~~~~~~~~~~~^~ workflow.h:151:32: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 151 | gs_path(data, algorithm_list, metric, parameters, A_init, result_list); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ api.cpp:287:98: required from here 287 | out_result = abessWorkflow( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 288 | x, y_vec, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, ic_coef, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 289 | Kfold, parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 290 | beta_low, beta_high, algorithm_list_uni_dense); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Metric.h:225:111: required from ‘double Metric::ic(int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix]’ 225 | log(algorithm->get_train_loss() - algorithm->lambda_level * algorithm->beta.cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ workflow.h:225:40: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 225 | ic_matrix(ind) = metric->ic(data.n, data.M, data.g_num, algorithm_list[algorithm_index]); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ api.cpp:287:98: required from here 287 | out_result = abessWorkflow( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 288 | x, y_vec, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, ic_coef, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 289 | Kfold, parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 290 | beta_low, beta_high, algorithm_list_uni_dense); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Metric.h:225:111: required from ‘double Metric::ic(int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix]’ 225 | log(algorithm->get_train_loss() - algorithm->lambda_level * algorithm->beta.cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ workflow.h:225:40: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 225 | ic_matrix(ind) = metric->ic(data.n, data.M, data.g_num, algorithm_list[algorithm_index]); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ api.cpp:292:107: required from here 292 | out_result = abessWorkflow( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 293 | x, y, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, ic_coef, Kfold, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 294 | parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, A_init, beta_low, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 295 | beta_high, algorithm_list_mul_dense); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ api.cpp:460:50: required from here 460 | Eigen::MatrixXd temp1 = temp * sigma; | ~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ api.cpp:460:50: required from here 460 | Eigen::MatrixXd temp1 = temp * sigma; | ~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ api.cpp:460:50: required from here 460 | Eigen::MatrixXd temp1 = temp * sigma; | ~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ api.cpp:460:50: required from here 460 | Eigen::MatrixXd temp1 = temp * sigma; | ~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ api.cpp:460:50: required from here 460 | Eigen::MatrixXd temp1 = temp * sigma; | ~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ api.cpp:460:50: required from here 460 | Eigen::MatrixXd temp1 = temp * sigma; | ~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ api.cpp:57:64: required from here 57 | weight(num) = 0.5 * (double) (conf.transpose() * theta_off * conf) + (double) (vec_diag.transpose() * conf); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ api.cpp:57:105: required from here 57 | weight(num) = 0.5 * (double) (conf.transpose() * theta_off * conf) + (double) (vec_diag.transpose() * conf); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ api.cpp:460:50: required from here 460 | Eigen::MatrixXd temp1 = temp * sigma; | ~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ api.cpp:460:50: required from here 460 | Eigen::MatrixXd temp1 = temp * sigma; | ~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ api.cpp:460:50: required from here 460 | Eigen::MatrixXd temp1 = temp * sigma; | ~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:330: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:126:68: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 126 | Index pb_max_threads = std::max(1,size / Functor::Traits::nr); | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ api.cpp:460:50: required from here 460 | Eigen::MatrixXd temp1 = temp * sigma; | ~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Metric.h:340:63: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 340 | Eigen::VectorXd test_y_single = test_y.col(i); | ~~~~~~~~~~^~~ path.h:98:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 98 | metric->test_loss(test_x, test_y, test_weight, g_index, g_size, test_n, p, N, algorithm); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 137 | sequential_path_cv(data, algorithm_list[i], metric, parameters, early_stop, i, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 138 | result_list[i]); | ~~~~~~~~~~~~~~~ api.cpp:287:98: required from here 287 | out_result = abessWorkflow( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 288 | x, y_vec, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, ic_coef, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 289 | Kfold, parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 290 | beta_low, beta_high, algorithm_list_uni_dense); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, -1, 1, true> > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:549:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>’ 549 | struct unary_evaluator,BlockRows,BlockCols,true>, IteratorBased> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from ‘struct Eigen::internal::block_evaluator, -1, 1, true, false>’ 1087 | struct block_evaluator | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ 1034 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 687 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:217:9: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:34: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; BlockType = Eigen::Block, -1, 1, true>]’ 216 | return operator=(other); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = true]’ 1207 | Base::operator=(other); \ | ~~~~~~~~~~~~~~~^~~~~~~ utilities.h:162:26: required from ‘T4 X_seg(T4&, int, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix]’ 162 | X_new.col(k) = X.col(ind(k)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~ Algorithm.h:272:23: required from ‘void Algorithm::fit(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 272 | T4 X_A = X_seg(train_x, train_n, A_ind, this->model_type); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ workflow.h:218:49: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 218 | algorithm_list[algorithm_index]->fit(data.x, data.y, data.weight, data.g_index, data.g_size, data.n, data.p, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 219 | data.g_num); | ~~~~~~~~~~~ api.cpp:317:110: required from here 317 | out_result = abessWorkflow>( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 318 | sparse_x, y_vec, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 319 | ic_coef, Kfold, parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 320 | A_init, beta_low, beta_high, algorithm_list_uni_sparse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 687 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:217:9: required from ‘void Eigen::Ref, _Options, _StrideType>::construct(const Expression&, Eigen::internal::true_type) [with Expression = Eigen::Block, -1, 1, true>; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ 217 | ::new (obj) TPlainObjectType(expr); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:190:16: required from ‘Eigen::Ref, _Options, _StrideType>::Ref(const Eigen::SparseMatrixBase&) [with Derived = Eigen::Block, -1, 1, true>; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ 190 | construct(expr.derived(), typename Traits::template match::type()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; BlockType = Eigen::Block, -1, 1, true>]’ 128 | Ref > tmp(other.derived()); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:34: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; BlockType = Eigen::Block, -1, 1, true>]’ 216 | return operator=(other); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = true]’ 1207 | Base::operator=(other); \ | ~~~~~~~~~~~~~~~^~~~~~~ utilities.h:162:26: required from ‘T4 X_seg(T4&, int, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix]’ 162 | X_new.col(k) = X.col(ind(k)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~ Algorithm.h:272:23: required from ‘void Algorithm::fit(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 272 | T4 X_A = X_seg(train_x, train_n, A_ind, this->model_type); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ workflow.h:218:49: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 218 | algorithm_list[algorithm_index]->fit(data.x, data.y, data.weight, data.g_index, data.g_size, data.n, data.p, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 219 | data.g_num); | ~~~~~~~~~~~ api.cpp:317:110: required from here 317 | out_result = abessWorkflow>( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 318 | sparse_x, y_vec, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 319 | ic_coef, Kfold, parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 320 | A_init, beta_low, beta_high, algorithm_list_uni_sparse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:333: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 87 | typedef typename Traits::LhsPacket LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ api.cpp:460:50: required from here 460 | Eigen::MatrixXd temp1 = temp * sigma; | ~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 91 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ api.cpp:460:50: required from here 460 | Eigen::MatrixXd temp1 = temp * sigma; | ~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 95 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ api.cpp:460:50: required from here 460 | Eigen::MatrixXd temp1 = temp * sigma; | ~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ api.cpp:460:50: required from here 460 | Eigen::MatrixXd temp1 = temp * sigma; | ~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ api.cpp:460:50: required from here 460 | Eigen::MatrixXd temp1 = temp * sigma; | ~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ api.cpp:460:50: required from here 460 | Eigen::MatrixXd temp1 = temp * sigma; | ~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ api.cpp:460:50: required from here 460 | Eigen::MatrixXd temp1 = temp * sigma; | ~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ api.cpp:460:50: required from here 460 | Eigen::MatrixXd temp1 = temp * sigma; | ~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ api.cpp:460:50: required from here 460 | Eigen::MatrixXd temp1 = temp * sigma; | ~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ api.cpp:460:50: required from here 460 | Eigen::MatrixXd temp1 = temp * sigma; | ~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 82 | gebp_kernel gebp; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 141 | return func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ api.cpp:460:50: required from here 460 | Eigen::MatrixXd temp1 = temp * sigma; | ~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 82 | gebp_kernel gebp; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 141 | return func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ api.cpp:460:50: required from here 460 | Eigen::MatrixXd temp1 = temp * sigma; | ~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ Metric.h:302:46: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 302 | Eigen::MatrixXd proba = test_X_A * beta_A; | ~~~~~~~~~^~~~~~~~ path.h:98:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 98 | metric->test_loss(test_x, test_y, test_weight, g_index, g_size, test_n, p, N, algorithm); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 137 | sequential_path_cv(data, algorithm_list[i], metric, parameters, early_stop, i, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 138 | result_list[i]); | ~~~~~~~~~~~~~~~ api.cpp:287:98: required from here 287 | out_result = abessWorkflow( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 288 | x, y_vec, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, ic_coef, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 289 | Kfold, parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 290 | beta_low, beta_high, algorithm_list_uni_dense); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:409:50: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Metric.h:293:55: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 293 | Eigen::VectorXd proba = test_X_A * beta_A + coef0 * Eigen::VectorXd::Ones(test_n); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ path.h:98:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 98 | metric->test_loss(test_x, test_y, test_weight, g_index, g_size, test_n, p, N, algorithm); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 137 | sequential_path_cv(data, algorithm_list[i], metric, parameters, early_stop, i, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 138 | result_list[i]); | ~~~~~~~~~~~~~~~ api.cpp:292:107: required from here 292 | out_result = abessWorkflow( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 293 | x, y, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, ic_coef, Kfold, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 294 | parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, A_init, beta_low, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 295 | beta_high, algorithm_list_mul_dense); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 104 | pack_rhs(blockB, rhs.getSubMapper(k,0), actual_kc, nc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 141 | return func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ api.cpp:460:50: required from here 460 | Eigen::MatrixXd temp1 = temp * sigma; | ~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 115 | pack_lhs(blockA+info[tid].lhs_start*actual_kc, lhs.getSubMapper(info[tid].lhs_start,k), actual_kc, info[tid].lhs_length); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 141 | return func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ api.cpp:460:50: required from here 460 | Eigen::MatrixXd temp1 = temp * sigma; | ~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 133 | gebp(res.getSubMapper(info[i].lhs_start, 0), blockA+info[i].lhs_start*actual_kc, blockB, info[i].lhs_length, actual_kc, nc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 141 | return func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ api.cpp:460:50: required from here 460 | Eigen::MatrixXd temp1 = temp * sigma; | ~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Metric.h:305:63: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | Eigen::VectorXd proba_rowsum = proba.rowwise().sum(); | ~~~~~~~~~~~~~~~~~~~^~ path.h:98:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 98 | metric->test_loss(test_x, test_y, test_weight, g_index, g_size, test_n, p, N, algorithm); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 137 | sequential_path_cv(data, algorithm_list[i], metric, parameters, early_stop, i, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 138 | result_list[i]); | ~~~~~~~~~~~~~~~ api.cpp:287:98: required from here 287 | out_result = abessWorkflow( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 288 | x, y_vec, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, ic_coef, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 289 | Kfold, parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 290 | beta_low, beta_high, algorithm_list_uni_dense); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 2, -1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from ‘PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]’ 217 | PanelEvaluator panel_eval(panel); | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ 681 | m_functor.template assignPacket(&m_dst.coeffRef(index), m_src.template packet(index)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75: required from ‘static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >, Eigen::internal::assign_op, 0>]’ 437 | kernel.template assignPacket(index); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::PartialReduxExpr, member_sum, 1>; Functor = assign_op]’ 785 | dense_assignment_loop::run(kernel); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Metric.h:305:63: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 305 | Eigen::VectorXd proba_rowsum = proba.rowwise().sum(); | ~~~~~~~~~~~~~~~~~~~^~ path.h:98:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 98 | metric->test_loss(test_x, test_y, test_weight, g_index, g_size, test_n, p, N, algorithm); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 137 | sequential_path_cv(data, algorithm_list[i], metric, parameters, early_stop, i, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 138 | result_list[i]); | ~~~~~~~~~~~~~~~ api.cpp:287:98: required from here 287 | out_result = abessWorkflow( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 288 | x, y_vec, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, ic_coef, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 289 | Kfold, parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 290 | beta_low, beta_high, algorithm_list_uni_dense); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Metric.h:293:55: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 293 | Eigen::VectorXd proba = test_X_A * beta_A + coef0 * Eigen::VectorXd::Ones(test_n); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ path.h:98:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 98 | metric->test_loss(test_x, test_y, test_weight, g_index, g_size, test_n, p, N, algorithm); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 137 | sequential_path_cv(data, algorithm_list[i], metric, parameters, early_stop, i, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 138 | result_list[i]); | ~~~~~~~~~~~~~~~ api.cpp:292:107: required from here 292 | out_result = abessWorkflow( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 293 | x, y, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, ic_coef, Kfold, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 294 | parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, A_init, beta_low, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 295 | beta_high, algorithm_list_mul_dense); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ api.cpp:460:50: required from here 460 | Eigen::MatrixXd temp1 = temp * sigma; | ~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ api.cpp:460:50: required from here 460 | Eigen::MatrixXd temp1 = temp * sigma; | ~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ Metric.h:302:46: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 302 | Eigen::MatrixXd proba = test_X_A * beta_A; | ~~~~~~~~~^~~~~~~~ path.h:98:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 98 | metric->test_loss(test_x, test_y, test_weight, g_index, g_size, test_n, p, N, algorithm); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 137 | sequential_path_cv(data, algorithm_list[i], metric, parameters, early_stop, i, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 138 | result_list[i]); | ~~~~~~~~~~~~~~~ api.cpp:287:98: required from here 287 | out_result = abessWorkflow( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 288 | x, y_vec, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, ic_coef, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 289 | Kfold, parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 290 | beta_low, beta_high, algorithm_list_uni_dense); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ api.cpp:460:50: required from here 460 | Eigen::MatrixXd temp1 = temp * sigma; | ~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Metric.h:293:55: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 293 | Eigen::VectorXd proba = test_X_A * beta_A + coef0 * Eigen::VectorXd::Ones(test_n); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ path.h:98:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 98 | metric->test_loss(test_x, test_y, test_weight, g_index, g_size, test_n, p, N, algorithm); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 137 | sequential_path_cv(data, algorithm_list[i], metric, parameters, early_stop, i, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 138 | result_list[i]); | ~~~~~~~~~~~~~~~ api.cpp:292:107: required from here 292 | out_result = abessWorkflow( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 293 | x, y, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, ic_coef, Kfold, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 294 | parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, A_init, beta_low, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 295 | beta_high, algorithm_list_mul_dense); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ Metric.h:302:46: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 302 | Eigen::MatrixXd proba = test_X_A * beta_A; | ~~~~~~~~~^~~~~~~~ path.h:98:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 98 | metric->test_loss(test_x, test_y, test_weight, g_index, g_size, test_n, p, N, algorithm); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 137 | sequential_path_cv(data, algorithm_list[i], metric, parameters, early_stop, i, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 138 | result_list[i]); | ~~~~~~~~~~~~~~~ api.cpp:287:98: required from here 287 | out_result = abessWorkflow( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 288 | x, y_vec, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, ic_coef, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 289 | Kfold, parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 290 | beta_low, beta_high, algorithm_list_uni_dense); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false> >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Metric.h:293:55: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 293 | Eigen::VectorXd proba = test_X_A * beta_A + coef0 * Eigen::VectorXd::Ones(test_n); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ path.h:98:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 98 | metric->test_loss(test_x, test_y, test_weight, g_index, g_size, test_n, p, N, algorithm); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 137 | sequential_path_cv(data, algorithm_list[i], metric, parameters, early_stop, i, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 138 | result_list[i]); | ~~~~~~~~~~~~~~~ api.cpp:292:107: required from here 292 | out_result = abessWorkflow( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 293 | x, y, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, ic_coef, Kfold, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 294 | parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, A_init, beta_low, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 295 | beta_high, algorithm_list_mul_dense); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Metric.h:293:55: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 293 | Eigen::VectorXd proba = test_X_A * beta_A + coef0 * Eigen::VectorXd::Ones(test_n); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ path.h:98:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 98 | metric->test_loss(test_x, test_y, test_weight, g_index, g_size, test_n, p, N, algorithm); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 137 | sequential_path_cv(data, algorithm_list[i], metric, parameters, early_stop, i, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 138 | result_list[i]); | ~~~~~~~~~~~~~~~ api.cpp:292:107: required from here 292 | out_result = abessWorkflow( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 293 | x, y, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, ic_coef, Kfold, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 294 | parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, A_init, beta_low, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 295 | beta_high, algorithm_list_mul_dense); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Metric.h:293:55: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 293 | Eigen::VectorXd proba = test_X_A * beta_A + coef0 * Eigen::VectorXd::Ones(test_n); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ path.h:98:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 98 | metric->test_loss(test_x, test_y, test_weight, g_index, g_size, test_n, p, N, algorithm); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 137 | sequential_path_cv(data, algorithm_list[i], metric, parameters, early_stop, i, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 138 | result_list[i]); | ~~~~~~~~~~~~~~~ api.cpp:292:107: required from here 292 | out_result = abessWorkflow( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 293 | x, y, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, ic_coef, Kfold, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 294 | parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, A_init, beta_low, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 295 | beta_high, algorithm_list_mul_dense); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, -1, 1, true>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:63: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Metric.h:293:55: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 293 | Eigen::VectorXd proba = test_X_A * beta_A + coef0 * Eigen::VectorXd::Ones(test_n); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ path.h:98:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 98 | metric->test_loss(test_x, test_y, test_weight, g_index, g_size, test_n, p, N, algorithm); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 137 | sequential_path_cv(data, algorithm_list[i], metric, parameters, early_stop, i, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 138 | result_list[i]); | ~~~~~~~~~~~~~~~ api.cpp:292:107: required from here 292 | out_result = abessWorkflow( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 293 | x, y, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, ic_coef, Kfold, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 294 | parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, A_init, beta_low, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 295 | beta_high, algorithm_list_mul_dense); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::CwiseNullaryOp, Eigen::Matrix >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseNullaryOp, Eigen::Matrix >; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Metric.h:293:55: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 293 | Eigen::VectorXd proba = test_X_A * beta_A + coef0 * Eigen::VectorXd::Ones(test_n); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ path.h:98:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 98 | metric->test_loss(test_x, test_y, test_weight, g_index, g_size, test_n, p, N, algorithm); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 137 | sequential_path_cv(data, algorithm_list[i], metric, parameters, early_stop, i, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 138 | result_list[i]); | ~~~~~~~~~~~~~~~ api.cpp:292:107: required from here 292 | out_result = abessWorkflow( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 293 | x, y, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, ic_coef, Kfold, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 294 | parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, A_init, beta_low, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 295 | beta_high, algorithm_list_mul_dense); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ api.cpp:57:64: required from here 57 | weight(num) = 0.5 * (double) (conf.transpose() * theta_off * conf) + (double) (vec_diag.transpose() * conf); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ api.cpp:57:64: required from here 57 | weight(num) = 0.5 * (double) (conf.transpose() * theta_off * conf) + (double) (vec_diag.transpose() * conf); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ api.cpp:57:64: required from here 57 | weight(num) = 0.5 * (double) (conf.transpose() * theta_off * conf) + (double) (vec_diag.transpose() * conf); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Metric.h:293:55: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 293 | Eigen::VectorXd proba = test_X_A * beta_A + coef0 * Eigen::VectorXd::Ones(test_n); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ path.h:98:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 98 | metric->test_loss(test_x, test_y, test_weight, g_index, g_size, test_n, p, N, algorithm); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 137 | sequential_path_cv(data, algorithm_list[i], metric, parameters, early_stop, i, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 138 | result_list[i]); | ~~~~~~~~~~~~~~~ api.cpp:292:107: required from here 292 | out_result = abessWorkflow( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 293 | x, y, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, ic_coef, Kfold, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 294 | parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, A_init, beta_low, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 295 | beta_high, algorithm_list_mul_dense); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ Metric.h:293:55: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 293 | Eigen::VectorXd proba = test_X_A * beta_A + coef0 * Eigen::VectorXd::Ones(test_n); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ path.h:98:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 98 | metric->test_loss(test_x, test_y, test_weight, g_index, g_size, test_n, p, N, algorithm); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 137 | sequential_path_cv(data, algorithm_list[i], metric, parameters, early_stop, i, A_init, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 138 | result_list[i]); | ~~~~~~~~~~~~~~~ api.cpp:292:107: required from here 292 | out_result = abessWorkflow( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 293 | x, y, n, p, normalize_type, weight, algorithm_type, path_type, is_warm_start, ic_type, ic_coef, Kfold, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 294 | parameters, screening_size, g_index, early_stop, thread, sparse_matrix, cv_fold_id, A_init, beta_low, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 295 | beta_high, algorithm_list_mul_dense); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ api.cpp:57:64: required from here 57 | weight(num) = 0.5 * (double) (conf.transpose() * theta_off * conf) + (double) (vec_diag.transpose() * conf); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ api.cpp:57:64: required from here 57 | weight(num) = 0.5 * (double) (conf.transpose() * theta_off * conf) + (double) (vec_diag.transpose() * conf); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ api.cpp:57:64: required from here 57 | weight(num) = 0.5 * (double) (conf.transpose() * theta_off * conf) + (double) (vec_diag.transpose() * conf); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ api.cpp:57:64: required from here 57 | weight(num) = 0.5 * (double) (conf.transpose() * theta_off * conf) + (double) (vec_diag.transpose() * conf); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ api.cpp:57:64: required from here 57 | weight(num) = 0.5 * (double) (conf.transpose() * theta_off * conf) + (double) (vec_diag.transpose() * conf); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ api.cpp:57:64: required from here 57 | weight(num) = 0.5 * (double) (conf.transpose() * theta_off * conf) + (double) (vec_diag.transpose() * conf); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Matrix > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Matrix, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmPCA.h:154:19: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 154 | S = X - this->L; | ~~^~~~~~~~~ AlgorithmPCA.h:144:21: required from here 144 | Eigen::VectorXi inital_screening(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Matrix >, const Eigen::Matrix > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmPCA.h:203:34: required from ‘double abessRPCA::loss_function(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 203 | MatrixXd W = X - this->L - S; | ~~~~~~~~~~~~^~~ AlgorithmPCA.h:197:12: required from here 197 | double loss_function(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmPCA.h:86:42: required from ‘void abessPCA::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 86 | VectorXd D = -this->sigma * beta + beta.transpose() * this->sigma * beta * beta; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:82:10: required from here 82 | void sacrifice(T4 &X, T4 &XA, Eigen::VectorXd &y, Eigen::VectorXd &beta, Eigen::VectorXd &beta_A, double &coef0, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:977:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ 977 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ 1018 | Flags = evaluator >::Flags, | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> > >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:340:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 340 | typename internal::enable_if::ScalarTypeMatch),Derived>::type* = 0) | ^~~~~~~~~~~~~~~ AlgorithmPCA.h:53:33: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 53 | DenseSymMatProd op(Y); | ^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmGLM.h:1836:35: required from ‘double abessOrdinal::loss_function(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1836 | Eigen::VectorXd xbeta = X * beta.col(0); | ~~^~~~~~~~~~~~~ AlgorithmGLM.h:1829:12: required from here 1829 | double loss_function(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1882:55: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1882 | XG_new.col(j) = XG.col(j).cwiseProduct(W); | ~~~~~~~~~~~~~~~~~~~~~~^~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ 22 | class SparseTransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ 45 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ AlgorithmGLM.h:1886:33: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1886 | XG_new.transpose() * XG + 2 * this->lambda_level * Eigen::MatrixXd::Identity(g_size(i), g_size(i)); | ~~~~~~~~~~~~~~~~^~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ 145 | class ProductImpl : public internal::generic_xpr_base, MatrixXpr, StorageKind>::type | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmGLM.h:1886:36: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1886 | XG_new.transpose() * XG + 2 * this->lambda_level * Eigen::MatrixXd::Identity(g_size(i), g_size(i)); | ~~~~~~~~~~~~~~~~~~~^~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1886:66: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1886 | XG_new.transpose() * XG + 2 * this->lambda_level * Eigen::MatrixXd::Identity(g_size(i), g_size(i)); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1886:41: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1886 | XG_new.transpose() * XG + 2 * this->lambda_level * Eigen::MatrixXd::Identity(g_size(i), g_size(i)); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ AlgorithmGLM.h:1889:56: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1889 | Eigen::MatrixXd invphiG = phiG.ldlt().solve( | ~~~~~~~~~~~~~~~~~^ 1890 | Eigen::MatrixXd::Identity(g_size(i), g_size(i))); // this is a way to inverse a matriX. | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmGLM.h:59:35: required from ‘Eigen::MatrixXd _abessGLM::gradient(T4&, T1&, Eigen::VectorXd&, T2&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 59 | return X_full.transpose() * this->gradient_core(X_full, y, weights, beta_full); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:57:29: required from here 57 | virtual Eigen::MatrixXd gradient(T4 &X_full, T1 &y, Eigen::VectorXd &weights, T2 &beta_full) { | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:64:7: required from ‘class Eigen::SparseVector’ 64 | class SparseVector | ^~~~~~~~~~~~ AlgorithmGLM.h:66:43: required from ‘Eigen::MatrixXd _abessGLM::hessian(T4&, T1&, Eigen::VectorXd&, T2&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 66 | H_diag(i) = X_full.col(i).eval().cwiseProduct(H_core).dot(X_full.col(i).eval()); | ~~~~~~~~~~~~~~~~~~^~ AlgorithmGLM.h:61:29: required from here 61 | virtual Eigen::MatrixXd hessian(T4 &X_full, T1 &y, Eigen::VectorXd &weights, T2 &beta_full) { | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseVector, const Eigen::Matrix > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseVector, const Eigen::Matrix, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseVector, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:66:58: required from ‘Eigen::MatrixXd _abessGLM::hessian(T4&, T1&, Eigen::VectorXd&, T2&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 66 | H_diag(i) = X_full.col(i).eval().cwiseProduct(H_core).dot(X_full.col(i).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ AlgorithmGLM.h:61:29: required from here 61 | virtual Eigen::MatrixXd hessian(T4 &X_full, T1 &y, Eigen::VectorXd &weights, T2 &beta_full) { | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ AlgorithmGLM.h: In instantiation of ‘double _abessGLM::loss_function(T4&, T1&, Eigen::VectorXd&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: AlgorithmGLM.h:85:20: required from here 85 | virtual double loss_function(T4 &X, T1 &y, Eigen::VectorXd &weights, T2 &beta, T3 &coef0, Eigen::VectorXi &A, | ^~~~~~~~~~~~~ AlgorithmGLM.h:87:13: warning: unused variable ‘n’ [-Wunused-variable] 87 | int n = X.rows(); | ^ AlgorithmGLM.h:88:13: warning: unused variable ‘p’ [-Wunused-variable] 88 | int p = X.cols(); | ^ AlgorithmGLM.h:89:13: warning: unused variable ‘M’ [-Wunused-variable] 89 | int M = y.cols(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ 103 | template class Block | ^~~~~ AlgorithmGLM.h:133:75: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 133 | betabar.block(g_index(i), 0, g_size(i), M) = phiG * beta.block(g_index(i), 0, g_size(i), M); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:99:18: required from here 99 | virtual void sacrifice(T4 &X, T4 &XA, T1 &y, T2 &beta, T2 &beta_A, T3 &coef0, Eigen::VectorXi &A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmGLM.h:133:63: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 133 | betabar.block(g_index(i), 0, g_size(i), M) = phiG * beta.block(g_index(i), 0, g_size(i), M); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:99:18: required from here 99 | virtual void sacrifice(T4 &X, T4 &XA, T1 &y, T2 &beta, T2 &beta_A, T3 &coef0, Eigen::VectorXi &A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ AlgorithmGLM.h: In instantiation of ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’: AlgorithmGLM.h:99:18: required from here 99 | virtual void sacrifice(T4 &X, T4 &XA, T1 &y, T2 &beta, T2 &beta_A, T3 &coef0, Eigen::VectorXi &A, | ^~~~~~~~~ AlgorithmGLM.h:104:13: warning: unused variable ‘n’ [-Wunused-variable] 104 | int n = X.rows(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ AlgorithmGLM.h:1554:46: required from ‘Eigen::VectorXd abessGamma::hessian_core(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix]’ 1554 | Eigen::VectorXd W = EY.array().square(); | ~~~~~~~~~~~~~~~~~^~ AlgorithmGLM.h:1552:21: required from here 1552 | Eigen::VectorXd hessian_core(T4 &X_full, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta_full) { | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, true>, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, true>, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, true>, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, true>, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1400:50: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1400 | Eigen::MatrixXd res = (y.leftCols(M - 1) - Pi); | ~~~~~~~~~~~~~~~~~~~^~~~~ AlgorithmGLM.h:1387:10: required from here 1387 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1404:58: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1404 | d = X.transpose() * res - 2 * this->lambda_level * beta; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1387:10: required from here 1387 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1404:33: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1404 | d = X.transpose() * res - 2 * this->lambda_level * beta; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1387:10: required from here 1387 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Block, -1, 1, true> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Block, -1, 1, true>, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1418:54: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1418 | XG_new.col(m) = h.col(m).cwiseProduct(XG).cwiseProduct(weights); | ~~~~~~~~~~~~~~~~~~~~~^~~~ AlgorithmGLM.h:1387:10: required from here 1387 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1418:71: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1418 | XG_new.col(m) = h.col(m).cwiseProduct(XG).cwiseProduct(weights); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ AlgorithmGLM.h:1387:10: required from here 1387 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ AlgorithmGLM.h:1420:37: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1420 | Eigen::MatrixXd XGbar = -XG_new.transpose() * XG_new; | ^~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1387:10: required from here 1387 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > >, Eigen::SparseMatrix, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ 145 | class ProductImpl : public internal::generic_xpr_base, MatrixXpr, StorageKind>::type | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::SparseMatrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmGLM.h:1420:57: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1420 | Eigen::MatrixXd XGbar = -XG_new.transpose() * XG_new; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~ AlgorithmGLM.h:1387:10: required from here 1387 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1424:27: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1424 | XGbar = XGbar + 2 * this->lambda_level * Eigen::MatrixXd::Identity(M - 1, M - 1); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1387:10: required from here 1387 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1434:69: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1434 | d.block(g_index(i), 0, g_size(i), M - 1) * invXGbar + beta.block(g_index(i), 0, g_size(i), M - 1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1387:10: required from here 1387 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1206:57: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1206 | Eigen::MatrixXd XTres = X.transpose() * res / t; | ~~~~~~~~~~~~~~~~~~~~^~~ AlgorithmGLM.h:1173:10: required from here 1173 | bool primary_model_fit(T4 &x, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, const Eigen::ArrayWrapper > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1258:103: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1258 | Eigen::VectorXd PiPj = Pi.col(m1).array() * (one - Pi.col(m1).eval()).array() * weights.array(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1173:10: required from here 1173 | bool primary_model_fit(T4 &x, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > >, const Eigen::ArrayWrapper > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1263:88: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1263 | Eigen::VectorXd PiPj = Pi.col(m1).array() * Pi.col(m2).array() * weights.array(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1173:10: required from here 1173 | bool primary_model_fit(T4 &x, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmGLM.h:1275:83: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1275 | XTW.block(m1 * X.cols(), m2 * n, X.cols(), n) = X.transpose() * W.block(m1 * n, m2 * n, n, n); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1173:10: required from here 1173 | bool primary_model_fit(T4 &x, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::SparseMatrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::SparseMatrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::SparseMatrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::SparseMatrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::SparseMatrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmGLM.h:1277:71: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1277 | XTW.block(m1 * X.cols(), m2 * n, X.cols(), n) * X + 2 * this->lambda_level * lambdamat; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ AlgorithmGLM.h:1173:10: required from here 1173 | bool primary_model_fit(T4 &x, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1277:75: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1277 | XTW.block(m1 * X.cols(), m2 * n, X.cols(), n) * X + 2 * this->lambda_level * lambdamat; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1173:10: required from here 1173 | bool primary_model_fit(T4 &x, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1303:68: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1303 | beta0_tmp.segment(m1 * X.cols(), X.cols()) - beta0_tmp.segment((M - 1) * X.cols(), X.cols()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1173:10: required from here 1173 | bool primary_model_fit(T4 &x, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmGLM.h:957:45: required from ‘void abessMLm::inital_setting(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 957 | this->XTone = X.transpose() * Eigen::MatrixXd::Ones(n, y.cols()); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:948:10: required from here 948 | void inital_setting(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::VectorXi &g_index, | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1026:19: required from ‘double abessMLm::loss_function(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1026 | return (y - X * beta - array_product(one, coef0)).array().square().sum() / n / 2.0 + | ~~^~~~~~~~~~ AlgorithmGLM.h:1021:12: required from here 1021 | double loss_function(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1026:30: required from ‘double abessMLm::loss_function(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1026 | return (y - X * beta - array_product(one, coef0)).array().square().sum() / n / 2.0 + | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1021:12: required from here 1021 | double loss_function(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ AlgorithmGLM.h:1026:64: required from ‘double abessMLm::loss_function(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1026 | return (y - X * beta - array_product(one, coef0)).array().square().sum() / n / 2.0 + | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ AlgorithmGLM.h:1021:12: required from here 1021 | double loss_function(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ AlgorithmGLM.h:1026:73: required from ‘double abessMLm::loss_function(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1026 | return (y - X * beta - array_product(one, coef0)).array().square().sum() / n / 2.0 + | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ AlgorithmGLM.h:1021:12: required from here 1021 | double loss_function(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ 22 | class SparseTransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ 45 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ AlgorithmGLM.h:1092:30: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1092 | d = X.adjoint() * (y - XA * beta_A - array_product(one, coef0)) / double(n) - | ~~~~~~~~~^~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmGLM.h:1092:33: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1092 | d = X.adjoint() * (y - XA * beta_A - array_product(one, coef0)) / double(n) - | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1092:81: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1092 | d = X.adjoint() * (y - XA * beta_A - array_product(one, coef0)) / double(n) - | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1092:93: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1092 | d = X.adjoint() * (y - XA * beta_A - array_product(one, coef0)) / double(n) - | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 1093 | 2 * this->lambda_level * beta; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmGLM.h:1095:33: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1095 | d = X.adjoint() * (y - array_product(one, coef0)) / double(n); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1095:67: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1095 | d = X.adjoint() * (y - array_product(one, coef0)) / double(n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1101:83: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1101 | d = (this->XTy_U - XTXbeta - array_product(this->XTone_U, coef0)) / double(n) - | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1101:95: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1101 | d = (this->XTy_U - XTXbeta - array_product(this->XTone_U, coef0)) / double(n) - | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 1102 | 2 * this->lambda_level * beta; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ 145 | class ProductImpl : public internal::generic_xpr_base, MatrixXpr, StorageKind>::type | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmGLM.h:997:43: required from ‘bool abessMLm::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 997 | Eigen::MatrixXd XTX = X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols()); | ~~~~~~~~~~~~^~~ AlgorithmGLM.h:981:10: required from here 981 | bool primary_model_fit(T4 &x, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:997:47: required from ‘bool abessMLm::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 997 | Eigen::MatrixXd XTX = X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols()); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:981:10: required from here 981 | bool primary_model_fit(T4 &x, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmGLM.h:999:62: required from ‘bool abessMLm::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 999 | Eigen::MatrixXd beta0 = XTX.ldlt().solve(X.adjoint() * y); | ~~~~~~~~~~~~^~~ AlgorithmGLM.h:981:10: required from here 981 | bool primary_model_fit(T4 &x, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ AlgorithmGLM.h:999:49: required from ‘bool abessMLm::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 999 | Eigen::MatrixXd beta0 = XTX.ldlt().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ AlgorithmGLM.h:981:10: required from here 981 | bool primary_model_fit(T4 &x, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ AlgorithmGLM.h: In instantiation of ‘bool abessMLm::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: AlgorithmGLM.h:981:10: required from here 981 | bool primary_model_fit(T4 &x, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ AlgorithmGLM.h:987:13: warning: unused variable ‘n’ [-Wunused-variable] 987 | int n = x.rows(); | ^ AlgorithmGLM.h:989:13: warning: unused variable ‘M’ [-Wunused-variable] 989 | int M = y.cols(); | ^ AlgorithmGLM.h: In instantiation of ‘double _abessGLM::loss_function(T4&, T1&, Eigen::VectorXd&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: AlgorithmGLM.h:85:20: required from here 85 | virtual double loss_function(T4 &X, T1 &y, Eigen::VectorXd &weights, T2 &beta, T3 &coef0, Eigen::VectorXi &A, | ^~~~~~~~~~~~~ AlgorithmGLM.h:87:13: warning: unused variable ‘n’ [-Wunused-variable] 87 | int n = X.rows(); | ^ AlgorithmGLM.h:88:13: warning: unused variable ‘p’ [-Wunused-variable] 88 | int p = X.cols(); | ^ AlgorithmGLM.h:89:13: warning: unused variable ‘M’ [-Wunused-variable] 89 | int M = y.cols(); | ^ AlgorithmGLM.h: In instantiation of ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’: AlgorithmGLM.h:99:18: required from here 99 | virtual void sacrifice(T4 &X, T4 &XA, T1 &y, T2 &beta, T2 &beta_A, T3 &coef0, Eigen::VectorXi &A, | ^~~~~~~~~ AlgorithmGLM.h:104:13: warning: unused variable ‘n’ [-Wunused-variable] 104 | int n = X.rows(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ AlgorithmGLM.h:803:79: required from ‘double abessCox::loss_function(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 803 | Eigen::VectorXd ratio = (expeta.cwiseQuotient(cum_expeta)).array().log(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ AlgorithmGLM.h:792:12: required from here 792 | double loss_function(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmGLM.h:856:27: required from ‘void abessCox::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 856 | d = X.transpose() * g - 2 * this->lambda_level * beta; | ~~~~~~~~~~~~~~^~~ AlgorithmGLM.h:809:10: required from here 809 | void sacrifice(T4 &X, T4 &XA, Eigen::VectorXd &y, Eigen::VectorXd &beta, Eigen::VectorXd &beta_A, double &coef0, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:856:31: required from ‘void abessCox::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 856 | d = X.transpose() * g - 2 * this->lambda_level * beta; | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:809:10: required from here 809 | void sacrifice(T4 &X, T4 &XA, Eigen::VectorXd &y, Eigen::VectorXd &beta, Eigen::VectorXd &beta_A, double &coef0, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmGLM.h:870:36: required from ‘void abessCox::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 870 | XG.transpose() * h * XG + 2 * this->lambda_level * Eigen::MatrixXd::Identity(g_size(i), g_size(i)); | ~~~~~~~~~~~~~~~~~~~^~~~ AlgorithmGLM.h:809:10: required from here 809 | void sacrifice(T4 &X, T4 &XA, Eigen::VectorXd &y, Eigen::VectorXd &beta, Eigen::VectorXd &beta_A, double &coef0, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:870:41: required from ‘void abessCox::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 870 | XG.transpose() * h * XG + 2 * this->lambda_level * Eigen::MatrixXd::Identity(g_size(i), g_size(i)); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:809:10: required from here 809 | void sacrifice(T4 &X, T4 &XA, Eigen::VectorXd &y, Eigen::VectorXd &beta, Eigen::VectorXd &beta_A, double &coef0, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::Diagonal, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::Diagonal, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::Diagonal, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::Diagonal, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::Diagonal, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:693:87: required from ‘bool abessCox::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 693 | d = (x.transpose() * g - 2 * this->lambda_level * beta0).cwiseQuotient(temp.diagonal()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ AlgorithmGLM.h:630:10: required from here 630 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weight, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ AlgorithmGLM.h:697:38: required from ‘bool abessCox::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 697 | d = temp.ldlt().solve(x.transpose() * g - 2 * this->lambda_level * beta0); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:630:10: required from here 630 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weight, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:316:67: required from ‘Eigen::VectorXd abessLogistic::hessian_core(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix]’ 316 | Eigen::VectorXd W = Pi.cwiseProduct(one - Pi).cwiseProduct(weights); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ AlgorithmGLM.h:313:21: required from here 313 | Eigen::VectorXd hessian_core(T4 &X_full, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta_full) { | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ AlgorithmGLM.h:333:49: required from ‘Eigen::VectorXd abessLogistic::log_probability(T4&, Eigen::VectorXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix]’ 333 | Eigen::VectorXd logP_1 = P_1.array().log(); | ~~~~~~~~~~~~~~~^~ AlgorithmGLM.h:330:21: required from here 330 | Eigen::VectorXd log_probability(T4 &X_full, Eigen::VectorXd &beta_full, Eigen::VectorXd &y) { | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ AlgorithmGLM.h:334:58: required from ‘Eigen::VectorXd abessLogistic::log_probability(T4&, Eigen::VectorXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix]’ 334 | Eigen::VectorXd logP_0 = (ones - P_1).array().log(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ AlgorithmGLM.h:330:21: required from here 330 | Eigen::VectorXd log_probability(T4 &X_full, Eigen::VectorXd &beta_full, Eigen::VectorXd &y) { | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:434:19: required from ‘double abessLm::loss_function(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 434 | return (y - X * beta - coef0 * one).array().square().sum() / n / 2. + lambda * beta.cwiseAbs2().sum(); | ~~^~~~~~~~~~ AlgorithmGLM.h:430:12: required from here 430 | double loss_function(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:434:30: required from ‘double abessLm::loss_function(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 434 | return (y - X * beta - coef0 * one).array().square().sum() / n / 2. + lambda * beta.cwiseAbs2().sum(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~ AlgorithmGLM.h:430:12: required from here 430 | double loss_function(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ AlgorithmGLM.h:434:50: required from ‘double abessLm::loss_function(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 434 | return (y - X * beta - coef0 * one).array().square().sum() / n / 2. + lambda * beta.cwiseAbs2().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ AlgorithmGLM.h:430:12: required from here 430 | double loss_function(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ AlgorithmGLM.h:434:59: required from ‘double abessLm::loss_function(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 434 | return (y - X * beta - coef0 * one).array().square().sum() / n / 2. + lambda * beta.cwiseAbs2().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ AlgorithmGLM.h:430:12: required from here 430 | double loss_function(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmGLM.h:498:33: required from ‘void abessLm::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 498 | d = X.adjoint() * (y - XA * beta_A - coef0 * one) / double(n) - 2 * this->lambda_level * beta; | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:473:10: required from here 473 | void sacrifice(T4 &X, T4 &XA, Eigen::VectorXd &y, Eigen::VectorXd &beta, Eigen::VectorXd &beta_A, double &coef0, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:498:67: required from ‘void abessLm::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 498 | d = X.adjoint() * (y - XA * beta_A - coef0 * one) / double(n) - 2 * this->lambda_level * beta; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ AlgorithmGLM.h:473:10: required from here 473 | void sacrifice(T4 &X, T4 &XA, Eigen::VectorXd &y, Eigen::VectorXd &beta, Eigen::VectorXd &beta_A, double &coef0, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:498:79: required from ‘void abessLm::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 498 | d = X.adjoint() * (y - XA * beta_A - coef0 * one) / double(n) - 2 * this->lambda_level * beta; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:473:10: required from here 473 | void sacrifice(T4 &X, T4 &XA, Eigen::VectorXd &y, Eigen::VectorXd &beta, Eigen::VectorXd &beta_A, double &coef0, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:500:38: required from ‘void abessLm::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 500 | d = X.adjoint() * (y - coef0 * one) / double(n); | ~~~^~~~~~~~~~~~~~ AlgorithmGLM.h:473:10: required from here 473 | void sacrifice(T4 &X, T4 &XA, Eigen::VectorXd &y, Eigen::VectorXd &beta, Eigen::VectorXd &beta_A, double &coef0, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmGLM.h:500:33: required from ‘void abessLm::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 500 | d = X.adjoint() * (y - coef0 * one) / double(n); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:473:10: required from here 473 | void sacrifice(T4 &X, T4 &XA, Eigen::VectorXd &y, Eigen::VectorXd &beta, Eigen::VectorXd &beta_A, double &coef0, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:500:53: required from ‘void abessLm::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 500 | d = X.adjoint() * (y - coef0 * one) / double(n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ AlgorithmGLM.h:473:10: required from here 473 | void sacrifice(T4 &X, T4 &XA, Eigen::VectorXd &y, Eigen::VectorXd &beta, Eigen::VectorXd &beta_A, double &coef0, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:506:69: required from ‘void abessLm::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 506 | d = (this->XTy_U - XTXbeta - this->XTone_U * coef0) / double(n) - 2 * this->lambda_level * beta; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ AlgorithmGLM.h:473:10: required from here 473 | void sacrifice(T4 &X, T4 &XA, Eigen::VectorXd &y, Eigen::VectorXd &beta, Eigen::VectorXd &beta_A, double &coef0, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:506:81: required from ‘void abessLm::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 506 | d = (this->XTy_U - XTXbeta - this->XTone_U * coef0) / double(n) - 2 * this->lambda_level * beta; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:473:10: required from here 473 | void sacrifice(T4 &X, T4 &XA, Eigen::VectorXd &y, Eigen::VectorXd &beta, Eigen::VectorXd &beta_A, double &coef0, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmGLM.h:421:48: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 421 | Eigen::VectorXd XTy = X_full.adjoint() * y; | ~~~~~~~~~~~~~~~~~^~~ AlgorithmGLM.h:405:10: required from here 405 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmGLM.h:1836:35: required from ‘double abessOrdinal::loss_function(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1836 | Eigen::VectorXd xbeta = X * beta.col(0); | ~~^~~~~~~~~~~~~ AlgorithmGLM.h:1829:12: required from here 1829 | double loss_function(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1882:55: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1882 | XG_new.col(j) = XG.col(j).cwiseProduct(W); | ~~~~~~~~~~~~~~~~~~~~~~^~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmGLM.h:1886:36: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1886 | XG_new.transpose() * XG + 2 * this->lambda_level * Eigen::MatrixXd::Identity(g_size(i), g_size(i)); | ~~~~~~~~~~~~~~~~~~~^~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1886:41: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1886 | XG_new.transpose() * XG + 2 * this->lambda_level * Eigen::MatrixXd::Identity(g_size(i), g_size(i)); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ AlgorithmGLM.h: In instantiation of ‘double _abessGLM::loss_function(T4&, T1&, Eigen::VectorXd&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: AlgorithmGLM.h:85:20: required from here 85 | virtual double loss_function(T4 &X, T1 &y, Eigen::VectorXd &weights, T2 &beta, T3 &coef0, Eigen::VectorXi &A, | ^~~~~~~~~~~~~ AlgorithmGLM.h:87:13: warning: unused variable ‘n’ [-Wunused-variable] 87 | int n = X.rows(); | ^ AlgorithmGLM.h:88:13: warning: unused variable ‘p’ [-Wunused-variable] 88 | int p = X.cols(); | ^ AlgorithmGLM.h:89:13: warning: unused variable ‘M’ [-Wunused-variable] 89 | int M = y.cols(); | ^ AlgorithmGLM.h: In instantiation of ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’: AlgorithmGLM.h:99:18: required from here 99 | virtual void sacrifice(T4 &X, T4 &XA, T1 &y, T2 &beta, T2 &beta_A, T3 &coef0, Eigen::VectorXi &A, | ^~~~~~~~~ AlgorithmGLM.h:104:13: warning: unused variable ‘n’ [-Wunused-variable] 104 | int n = X.rows(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1404:33: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1404 | d = X.transpose() * res - 2 * this->lambda_level * beta; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1387:10: required from here 1387 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1418:54: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1418 | XG_new.col(m) = h.col(m).cwiseProduct(XG).cwiseProduct(weights); | ~~~~~~~~~~~~~~~~~~~~~^~~~ AlgorithmGLM.h:1387:10: required from here 1387 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1418:71: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1418 | XG_new.col(m) = h.col(m).cwiseProduct(XG).cwiseProduct(weights); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ AlgorithmGLM.h:1387:10: required from here 1387 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ AlgorithmGLM.h:1420:37: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1420 | Eigen::MatrixXd XGbar = -XG_new.transpose() * XG_new; | ^~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1387:10: required from here 1387 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmGLM.h:1420:57: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1420 | Eigen::MatrixXd XGbar = -XG_new.transpose() * XG_new; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~ AlgorithmGLM.h:1387:10: required from here 1387 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1206:57: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1206 | Eigen::MatrixXd XTres = X.transpose() * res / t; | ~~~~~~~~~~~~~~~~~~~~^~~ AlgorithmGLM.h:1173:10: required from here 1173 | bool primary_model_fit(T4 &x, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmGLM.h:1275:83: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1275 | XTW.block(m1 * X.cols(), m2 * n, X.cols(), n) = X.transpose() * W.block(m1 * n, m2 * n, n, n); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1173:10: required from here 1173 | bool primary_model_fit(T4 &x, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1277:75: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1277 | XTW.block(m1 * X.cols(), m2 * n, X.cols(), n) * X + 2 * this->lambda_level * lambdamat; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1173:10: required from here 1173 | bool primary_model_fit(T4 &x, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmGLM.h:957:45: required from ‘void abessMLm::inital_setting(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 957 | this->XTone = X.transpose() * Eigen::MatrixXd::Ones(n, y.cols()); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:948:10: required from here 948 | void inital_setting(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::VectorXi &g_index, | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1026:19: required from ‘double abessMLm::loss_function(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1026 | return (y - X * beta - array_product(one, coef0)).array().square().sum() / n / 2.0 + | ~~^~~~~~~~~~ AlgorithmGLM.h:1021:12: required from here 1021 | double loss_function(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1026:30: required from ‘double abessMLm::loss_function(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1026 | return (y - X * beta - array_product(one, coef0)).array().square().sum() / n / 2.0 + | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1021:12: required from here 1021 | double loss_function(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ AlgorithmGLM.h:1026:64: required from ‘double abessMLm::loss_function(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1026 | return (y - X * beta - array_product(one, coef0)).array().square().sum() / n / 2.0 + | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ AlgorithmGLM.h:1021:12: required from here 1021 | double loss_function(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ AlgorithmGLM.h:1026:73: required from ‘double abessMLm::loss_function(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1026 | return (y - X * beta - array_product(one, coef0)).array().square().sum() / n / 2.0 + | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ AlgorithmGLM.h:1021:12: required from here 1021 | double loss_function(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmGLM.h:1092:33: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1092 | d = X.adjoint() * (y - XA * beta_A - array_product(one, coef0)) / double(n) - | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1092:81: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1092 | d = X.adjoint() * (y - XA * beta_A - array_product(one, coef0)) / double(n) - | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1092:93: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1092 | d = X.adjoint() * (y - XA * beta_A - array_product(one, coef0)) / double(n) - | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 1093 | 2 * this->lambda_level * beta; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmGLM.h:1095:33: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1095 | d = X.adjoint() * (y - array_product(one, coef0)) / double(n); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1095:67: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1095 | d = X.adjoint() * (y - array_product(one, coef0)) / double(n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:997:47: required from ‘bool abessMLm::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 997 | Eigen::MatrixXd XTX = X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols()); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:981:10: required from here 981 | bool primary_model_fit(T4 &x, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ AlgorithmGLM.h:999:49: required from ‘bool abessMLm::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 999 | Eigen::MatrixXd beta0 = XTX.ldlt().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ AlgorithmGLM.h:981:10: required from here 981 | bool primary_model_fit(T4 &x, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ AlgorithmGLM.h: In instantiation of ‘bool abessMLm::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: AlgorithmGLM.h:981:10: required from here 981 | bool primary_model_fit(T4 &x, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ AlgorithmGLM.h:987:13: warning: unused variable ‘n’ [-Wunused-variable] 987 | int n = x.rows(); | ^ AlgorithmGLM.h:989:13: warning: unused variable ‘M’ [-Wunused-variable] 989 | int M = y.cols(); | ^ AlgorithmGLM.h: In instantiation of ‘double _abessGLM::loss_function(T4&, T1&, Eigen::VectorXd&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: AlgorithmGLM.h:85:20: required from here 85 | virtual double loss_function(T4 &X, T1 &y, Eigen::VectorXd &weights, T2 &beta, T3 &coef0, Eigen::VectorXi &A, | ^~~~~~~~~~~~~ AlgorithmGLM.h:87:13: warning: unused variable ‘n’ [-Wunused-variable] 87 | int n = X.rows(); | ^ AlgorithmGLM.h:88:13: warning: unused variable ‘p’ [-Wunused-variable] 88 | int p = X.cols(); | ^ AlgorithmGLM.h:89:13: warning: unused variable ‘M’ [-Wunused-variable] 89 | int M = y.cols(); | ^ AlgorithmGLM.h: In instantiation of ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’: AlgorithmGLM.h:99:18: required from here 99 | virtual void sacrifice(T4 &X, T4 &XA, T1 &y, T2 &beta, T2 &beta_A, T3 &coef0, Eigen::VectorXi &A, | ^~~~~~~~~ AlgorithmGLM.h:104:13: warning: unused variable ‘n’ [-Wunused-variable] 104 | int n = X.rows(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmGLM.h:856:27: required from ‘void abessCox::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 856 | d = X.transpose() * g - 2 * this->lambda_level * beta; | ~~~~~~~~~~~~~~^~~ AlgorithmGLM.h:809:10: required from here 809 | void sacrifice(T4 &X, T4 &XA, Eigen::VectorXd &y, Eigen::VectorXd &beta, Eigen::VectorXd &beta_A, double &coef0, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:856:31: required from ‘void abessCox::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 856 | d = X.transpose() * g - 2 * this->lambda_level * beta; | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:809:10: required from here 809 | void sacrifice(T4 &X, T4 &XA, Eigen::VectorXd &y, Eigen::VectorXd &beta, Eigen::VectorXd &beta_A, double &coef0, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmGLM.h:870:36: required from ‘void abessCox::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 870 | XG.transpose() * h * XG + 2 * this->lambda_level * Eigen::MatrixXd::Identity(g_size(i), g_size(i)); | ~~~~~~~~~~~~~~~~~~~^~~~ AlgorithmGLM.h:809:10: required from here 809 | void sacrifice(T4 &X, T4 &XA, Eigen::VectorXd &y, Eigen::VectorXd &beta, Eigen::VectorXd &beta_A, double &coef0, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:870:41: required from ‘void abessCox::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 870 | XG.transpose() * h * XG + 2 * this->lambda_level * Eigen::MatrixXd::Identity(g_size(i), g_size(i)); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:809:10: required from here 809 | void sacrifice(T4 &X, T4 &XA, Eigen::VectorXd &y, Eigen::VectorXd &beta, Eigen::VectorXd &beta_A, double &coef0, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::Diagonal, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::Diagonal, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::Diagonal, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::Diagonal, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::Diagonal, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:693:87: required from ‘bool abessCox::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 693 | d = (x.transpose() * g - 2 * this->lambda_level * beta0).cwiseQuotient(temp.diagonal()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ AlgorithmGLM.h:630:10: required from here 630 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weight, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ AlgorithmGLM.h:697:38: required from ‘bool abessCox::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 697 | d = temp.ldlt().solve(x.transpose() * g - 2 * this->lambda_level * beta0); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:630:10: required from here 630 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weight, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:434:19: required from ‘double abessLm::loss_function(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 434 | return (y - X * beta - coef0 * one).array().square().sum() / n / 2. + lambda * beta.cwiseAbs2().sum(); | ~~^~~~~~~~~~ AlgorithmGLM.h:430:12: required from here 430 | double loss_function(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:434:30: required from ‘double abessLm::loss_function(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 434 | return (y - X * beta - coef0 * one).array().square().sum() / n / 2. + lambda * beta.cwiseAbs2().sum(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~ AlgorithmGLM.h:430:12: required from here 430 | double loss_function(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ AlgorithmGLM.h:434:50: required from ‘double abessLm::loss_function(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 434 | return (y - X * beta - coef0 * one).array().square().sum() / n / 2. + lambda * beta.cwiseAbs2().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ AlgorithmGLM.h:430:12: required from here 430 | double loss_function(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ AlgorithmGLM.h:434:59: required from ‘double abessLm::loss_function(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 434 | return (y - X * beta - coef0 * one).array().square().sum() / n / 2. + lambda * beta.cwiseAbs2().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ AlgorithmGLM.h:430:12: required from here 430 | double loss_function(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmGLM.h:498:33: required from ‘void abessLm::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 498 | d = X.adjoint() * (y - XA * beta_A - coef0 * one) / double(n) - 2 * this->lambda_level * beta; | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:473:10: required from here 473 | void sacrifice(T4 &X, T4 &XA, Eigen::VectorXd &y, Eigen::VectorXd &beta, Eigen::VectorXd &beta_A, double &coef0, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:498:67: required from ‘void abessLm::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 498 | d = X.adjoint() * (y - XA * beta_A - coef0 * one) / double(n) - 2 * this->lambda_level * beta; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ AlgorithmGLM.h:473:10: required from here 473 | void sacrifice(T4 &X, T4 &XA, Eigen::VectorXd &y, Eigen::VectorXd &beta, Eigen::VectorXd &beta_A, double &coef0, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:498:79: required from ‘void abessLm::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 498 | d = X.adjoint() * (y - XA * beta_A - coef0 * one) / double(n) - 2 * this->lambda_level * beta; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:473:10: required from here 473 | void sacrifice(T4 &X, T4 &XA, Eigen::VectorXd &y, Eigen::VectorXd &beta, Eigen::VectorXd &beta_A, double &coef0, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmGLM.h:500:33: required from ‘void abessLm::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 500 | d = X.adjoint() * (y - coef0 * one) / double(n); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:473:10: required from here 473 | void sacrifice(T4 &X, T4 &XA, Eigen::VectorXd &y, Eigen::VectorXd &beta, Eigen::VectorXd &beta_A, double &coef0, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:500:53: required from ‘void abessLm::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 500 | d = X.adjoint() * (y - coef0 * one) / double(n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ AlgorithmGLM.h:473:10: required from here 473 | void sacrifice(T4 &X, T4 &XA, Eigen::VectorXd &y, Eigen::VectorXd &beta, Eigen::VectorXd &beta_A, double &coef0, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmGLM.h:421:48: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 421 | Eigen::VectorXd XTy = X_full.adjoint() * y; | ~~~~~~~~~~~~~~~~~^~~ AlgorithmGLM.h:405:10: required from here 405 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmPCA.h:293:36: required from ‘Eigen::MatrixXd abessRPCA::HardImpute(T4&, Eigen::VectorXi&, int, double) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 293 | Z_new = trun_svd(Z_old + lambda); | ~~~~~~^~~~~~~~ AlgorithmPCA.h:182:25: required from ‘bool abessRPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 182 | this->L = this->HardImpute(x, A, 1000, 1e-5); | ~~~~~~^~~~~~~~~~ AlgorithmPCA.h:177:10: required from here 177 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1>’ 61 | template class Replicate | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::Replicate, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1> > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Replicate, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmPCA.h:121:42: required from ‘Eigen::MatrixXd abessPCA::compute_Sigma(T4&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ 121 | MatrixXd centered = X1.rowwise() - X1.colwise().mean(); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:29:27: required from ‘void abessPCA::inital_setting(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 29 | this->sigma = compute_Sigma(X); | ^~~~~~~~~~~~~ AlgorithmPCA.h:26:10: required from here 26 | void inital_setting(T4 &X, VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXi &g_index, Eigen::VectorXi &g_size, | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Replicate, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Replicate, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Replicate, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Replicate, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmPCA.h:121:42: required from ‘Eigen::MatrixXd abessPCA::compute_Sigma(T4&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ 121 | MatrixXd centered = X1.rowwise() - X1.colwise().mean(); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:29:27: required from ‘void abessPCA::inital_setting(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 29 | this->sigma = compute_Sigma(X); | ^~~~~~~~~~~~~ AlgorithmPCA.h:26:10: required from here 26 | void inital_setting(T4 &X, VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXi &g_index, Eigen::VectorXi &g_size, | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmGLM.h:1623:35: required from ‘bool abessOrdinal::gradient(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1623 | Eigen::VectorXd xbeta = X * coef.tail(p); | ~~^~~~~~~~~~~~~~ AlgorithmGLM.h:1872:9: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1872 | gradient(X, y, weights, beta, coef0, d); | ^~~~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::internal::member_sum, 1>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::internal::member_sum, 1> >’ 52 | template class Transpose | ^~~~~~~~~ AlgorithmGLM.h:1656:53: required from ‘bool abessOrdinal::gradient(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1656 | g.tail(p) = grad_L.rowwise().sum().transpose() * X - 2 * this->lambda_level * coef.tail(p).eval(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ AlgorithmGLM.h:1872:9: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1872 | gradient(X, y, weights, beta, coef0, d); | ^~~~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1> >, Eigen::SparseMatrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 1> >, Eigen::SparseMatrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >, Eigen::SparseMatrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::internal::member_sum, 1> >, Eigen::SparseMatrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::internal::member_sum, 1> >, Eigen::SparseMatrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::internal::member_sum, 1> >, Eigen::SparseMatrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmGLM.h:1656:56: required from ‘bool abessOrdinal::gradient(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1656 | g.tail(p) = grad_L.rowwise().sum().transpose() * X - 2 * this->lambda_level * coef.tail(p).eval(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ AlgorithmGLM.h:1872:9: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1872 | gradient(X, y, weights, beta, coef0, d); | ^~~~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::internal::member_sum, 1> >, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::internal::member_sum, 1> >, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::internal::member_sum, 1> >, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::internal::member_sum, 1> >, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::internal::member_sum, 1> >, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1656:60: required from ‘bool abessOrdinal::gradient(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1656 | g.tail(p) = grad_L.rowwise().sum().transpose() * X - 2 * this->lambda_level * coef.tail(p).eval(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1872:9: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1872 | gradient(X, y, weights, beta, coef0, d); | ^~~~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ AlgorithmGLM.h:1897:80: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1897 | bd(A[i]) = betabar.segment(g_indeX(A[i]), g_size(A[i])).squaredNorm() / g_size(A[i]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ AlgorithmGLM.h:139:84: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 139 | bd(A(i)) = betabar.block(g_index(A[i]), 0, g_size(A[i]), M).squaredNorm() / g_size(A(i)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ AlgorithmGLM.h:99:18: required from here 99 | virtual void sacrifice(T4 &X, T4 &XA, T1 &y, T2 &beta, T2 &beta_A, T3 &coef0, Eigen::VectorXi &A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:199:64: required from ‘bool _abessGLM::_approx_newton_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 199 | direction.row(i) -= 2 * this->lambda_level * beta_full.row(i).eval(); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1586:44: required from ‘bool abessGamma::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1586 | return this->_approx_newton_fit(X, y, weights, beta, coef0, loss0, A, g_index, g_size); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1575:10: required from here 1575 | bool primary_model_fit(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:199:64: required from ‘bool _abessGLM::_approx_newton_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 199 | direction.row(i) -= 2 * this->lambda_level * beta_full.row(i).eval(); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1586:44: required from ‘bool abessGamma::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1586 | return this->_approx_newton_fit(X, y, weights, beta, coef0, loss0, A, g_index, g_size); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1575:10: required from here 1575 | bool primary_model_fit(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:211:38: required from ‘bool _abessGLM::_approx_newton_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 211 | beta_new = beta_full + step * direction; | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1586:44: required from ‘bool abessGamma::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1586 | return this->_approx_newton_fit(X, y, weights, beta, coef0, loss0, A, g_index, g_size); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1575:10: required from here 1575 | bool primary_model_fit(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ AlgorithmGLM.h: In instantiation of ‘bool _abessGLM::_approx_newton_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: AlgorithmGLM.h:1586:44: required from ‘bool abessGamma::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1586 | return this->_approx_newton_fit(X, y, weights, beta, coef0, loss0, A, g_index, g_size); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1575:10: required from here 1575 | bool primary_model_fit(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ AlgorithmGLM.h:178:13: warning: unused variable ‘n’ [-Wunused-variable] 178 | int n = X.rows(); | ^ AlgorithmGLM.h:179:13: warning: unused variable ‘p’ [-Wunused-variable] 179 | int p = X.cols(); | ^ AlgorithmGLM.h:180:13: warning: unused variable ‘M’ [-Wunused-variable] 180 | int M = y.cols(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Product >, Eigen::SparseMatrix, 2> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Product >, Eigen::SparseMatrix, 2> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:264:71: required from ‘bool _abessGLM::_IRLS_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 264 | Eigen::MatrixXd XTX = 2 * this->lambda_level * lambda_one + X_new.transpose() * X_full; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1589:35: required from ‘bool abessGamma::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1589 | return this->_IRLS_fit(X, y, weights, beta, coef0, loss0, A, g_index, g_size); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1575:10: required from here 1575 | bool primary_model_fit(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ AlgorithmGLM.h:265:41: required from ‘bool _abessGLM::_IRLS_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 265 | beta_full = XTX.ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1589:35: required from ‘bool abessGamma::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1589 | return this->_IRLS_fit(X, y, weights, beta, coef0, loss0, A, g_index, g_size); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1575:10: required from here 1575 | bool primary_model_fit(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ AlgorithmGLM.h: In instantiation of ‘bool _abessGLM::_IRLS_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: AlgorithmGLM.h:1589:35: required from ‘bool abessGamma::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1589 | return this->_IRLS_fit(X, y, weights, beta, coef0, loss0, A, g_index, g_size); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1575:10: required from here 1575 | bool primary_model_fit(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ AlgorithmGLM.h:238:13: warning: unused variable ‘n’ [-Wunused-variable] 238 | int n = X.rows(); | ^ AlgorithmGLM.h:239:13: warning: unused variable ‘p’ [-Wunused-variable] 239 | int p = X.cols(); | ^ AlgorithmGLM.h:240:13: warning: unused variable ‘M’ [-Wunused-variable] 240 | int M = y.cols(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ utilities.h:386:44: required from ‘void pi(T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 386 | Eigen::MatrixXd Xbeta = X * beta + one * coef0.transpose(); | ~~~~^~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1378:11: required from ‘double abessMultinomial::loss_function(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1378 | pi(X, y, beta, coef0, pr); | ~~^~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1373:12: required from here 1373 | double loss_function(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Transpose >, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Transpose >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Transpose >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Transpose >, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Transpose >, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ utilities.h:386:38: required from ‘void pi(T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 386 | Eigen::MatrixXd Xbeta = X * beta + one * coef0.transpose(); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1378:11: required from ‘double abessMultinomial::loss_function(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1378 | pi(X, y, beta, coef0, pr); | ~~^~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1373:12: required from here 1373 | double loss_function(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ AlgorithmGLM.h:1435:66: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1435 | bd(i) = (temp * XGbar * temp.transpose()).squaredNorm() / g_size(i); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ AlgorithmGLM.h:1387:10: required from here 1387 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Sparse>’ 333 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ 103 | template class Block | ^~~~~ utilities.h:189:27: required from ‘Eigen::Matrix compute_group_XTX(T4&, Eigen::VectorXi, Eigen::VectorXi, int, int, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix]’ 189 | T4 X_ind = X.block(0, index(i), n, gsize(i)); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:952:52: required from ‘void abessMLm::inital_setting(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 952 | this->group_XTX = compute_group_XTX(X, g_index, g_size, n, p, N); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:948:10: required from here 948 | void inital_setting(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::VectorXi &g_index, | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ utilities.h:201:90: required from ‘Eigen::Matrix, -1, -1> Phi(T4&, Eigen::VectorXi, Eigen::VectorXi, int, int, int, double, Eigen::Matrix) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix]’ 201 | 2 * lambda * Eigen::MatrixXd::Identity(gsize(i), gsize(i)) + group_XTX(i, 0) / double(n); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~ AlgorithmGLM.h:962:29: required from ‘void abessMLm::inital_setting(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 962 | this->PhiG = Phi(X, g_index, g_size, n, p, N, this->lambda_level, this->group_XTX); | ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:948:10: required from here 948 | void inital_setting(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::VectorXi &g_index, | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ utilities.h:201:72: required from ‘Eigen::Matrix, -1, -1> Phi(T4&, Eigen::VectorXi, Eigen::VectorXi, int, int, int, double, Eigen::Matrix) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix]’ 201 | 2 * lambda * Eigen::MatrixXd::Identity(gsize(i), gsize(i)) + group_XTX(i, 0) / double(n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:962:29: required from ‘void abessMLm::inital_setting(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 962 | this->PhiG = Phi(X, g_index, g_size, n, p, N, this->lambda_level, this->group_XTX); | ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:948:10: required from here 948 | void inital_setting(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::VectorXi &g_index, | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::Block, -1, 1, true>, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 2, Eigen::Sparse>’ 145 | class ProductImpl : public internal::generic_xpr_base, MatrixXpr, StorageKind>::type | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, 1, true>, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmGLM.h:1054:64: required from ‘Eigen::MatrixXd abessMLm::covariance_update_f_U(Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1054 | *this->covariance[Ai] = (*this->x).transpose() * (*this->x).col(Ai); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1099:49: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1099 | Eigen::MatrixXd XTXbeta = this->covariance_update_f_U(U_ind, A_ind) * beta_A; | ~~~~~~^~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:199:64: required from ‘bool _abessGLM::_approx_newton_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 199 | direction.row(i) -= 2 * this->lambda_level * beta_full.row(i).eval(); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:77:26: required from ‘bool _abessGLM::primary_model_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 77 | return this->_approx_newton_fit(X, y, weights, beta, coef0, loss0, A, g_index, g_size); | ~~~~~~^~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:71:18: required from here 71 | virtual bool primary_model_fit(T4 &X, T1 &y, Eigen::VectorXd &weights, T2 &beta, T3 &coef0, double loss0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:205:37: required from ‘bool _abessGLM::_approx_newton_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 205 | T2 beta_new = beta_full + step * T2(direction); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:77:26: required from ‘bool _abessGLM::primary_model_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 77 | return this->_approx_newton_fit(X, y, weights, beta, coef0, loss0, A, g_index, g_size); | ~~~~~~^~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:71:18: required from here 71 | virtual bool primary_model_fit(T4 &X, T1 &y, Eigen::VectorXd &weights, T2 &beta, T3 &coef0, double loss0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ AlgorithmGLM.h: In instantiation of ‘bool _abessGLM::_approx_newton_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: AlgorithmGLM.h:77:26: required from ‘bool _abessGLM::primary_model_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 77 | return this->_approx_newton_fit(X, y, weights, beta, coef0, loss0, A, g_index, g_size); | ~~~~~~^~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:71:18: required from here 71 | virtual bool primary_model_fit(T4 &X, T1 &y, Eigen::VectorXd &weights, T2 &beta, T3 &coef0, double loss0, | ^~~~~~~~~~~~~~~~~ AlgorithmGLM.h:178:13: warning: unused variable ‘n’ [-Wunused-variable] 178 | int n = X.rows(); | ^ AlgorithmGLM.h:179:13: warning: unused variable ‘p’ [-Wunused-variable] 179 | int p = X.cols(); | ^ AlgorithmGLM.h:180:13: warning: unused variable ‘M’ [-Wunused-variable] 180 | int M = y.cols(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ AlgorithmGLM.h:265:41: required from ‘bool _abessGLM::_IRLS_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 265 | beta_full = XTX.ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:80:26: required from ‘bool _abessGLM::primary_model_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 80 | return this->_IRLS_fit(X, y, weights, beta, coef0, loss0, A, g_index, g_size); | ~~~~~~^~~~~~~~~ AlgorithmGLM.h:71:18: required from here 71 | virtual bool primary_model_fit(T4 &X, T1 &y, Eigen::VectorXd &weights, T2 &beta, T3 &coef0, double loss0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ AlgorithmGLM.h: In instantiation of ‘bool _abessGLM::_IRLS_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: AlgorithmGLM.h:80:26: required from ‘bool _abessGLM::primary_model_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 80 | return this->_IRLS_fit(X, y, weights, beta, coef0, loss0, A, g_index, g_size); | ~~~~~~^~~~~~~~~ AlgorithmGLM.h:71:18: required from here 71 | virtual bool primary_model_fit(T4 &X, T1 &y, Eigen::VectorXd &weights, T2 &beta, T3 &coef0, double loss0, | ^~~~~~~~~~~~~~~~~ AlgorithmGLM.h:238:13: warning: unused variable ‘n’ [-Wunused-variable] 238 | int n = X.rows(); | ^ AlgorithmGLM.h:239:13: warning: unused variable ‘p’ [-Wunused-variable] 239 | int p = X.cols(); | ^ AlgorithmGLM.h:240:13: warning: unused variable ‘M’ [-Wunused-variable] 240 | int M = y.cols(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1> >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 1> >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::internal::member_sum, 1> >, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::internal::member_sum, 1> >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::internal::member_sum, 1> >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmGLM.h:1656:56: required from ‘bool abessOrdinal::gradient(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXd&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1656 | g.tail(p) = grad_L.rowwise().sum().transpose() * X - 2 * this->lambda_level * coef.tail(p).eval(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ AlgorithmGLM.h:1872:9: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1872 | gradient(X, y, weights, beta, coef0, d); | ^~~~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::internal::member_sum, 1> >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::internal::member_sum, 1> >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::internal::member_sum, 1> >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::internal::member_sum, 1> >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::internal::member_sum, 1> >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:1656:60: required from ‘bool abessOrdinal::gradient(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXd&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1656 | g.tail(p) = grad_L.rowwise().sum().transpose() * X - 2 * this->lambda_level * coef.tail(p).eval(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1872:9: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1872 | gradient(X, y, weights, beta, coef0, d); | ^~~~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ AlgorithmGLM.h: In instantiation of ‘bool _abessGLM::_approx_newton_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: AlgorithmGLM.h:1586:44: required from ‘bool abessGamma::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1586 | return this->_approx_newton_fit(X, y, weights, beta, coef0, loss0, A, g_index, g_size); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1575:10: required from here 1575 | bool primary_model_fit(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ AlgorithmGLM.h:178:13: warning: unused variable ‘n’ [-Wunused-variable] 178 | int n = X.rows(); | ^ AlgorithmGLM.h:179:13: warning: unused variable ‘p’ [-Wunused-variable] 179 | int p = X.cols(); | ^ AlgorithmGLM.h:180:13: warning: unused variable ‘M’ [-Wunused-variable] 180 | int M = y.cols(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ AlgorithmGLM.h:264:71: required from ‘bool _abessGLM::_IRLS_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 264 | Eigen::MatrixXd XTX = 2 * this->lambda_level * lambda_one + X_new.transpose() * X_full; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1589:35: required from ‘bool abessGamma::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1589 | return this->_IRLS_fit(X, y, weights, beta, coef0, loss0, A, g_index, g_size); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1575:10: required from here 1575 | bool primary_model_fit(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ AlgorithmGLM.h:265:41: required from ‘bool _abessGLM::_IRLS_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 265 | beta_full = XTX.ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1589:35: required from ‘bool abessGamma::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1589 | return this->_IRLS_fit(X, y, weights, beta, coef0, loss0, A, g_index, g_size); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1575:10: required from here 1575 | bool primary_model_fit(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ AlgorithmGLM.h: In instantiation of ‘bool _abessGLM::_IRLS_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: AlgorithmGLM.h:1589:35: required from ‘bool abessGamma::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1589 | return this->_IRLS_fit(X, y, weights, beta, coef0, loss0, A, g_index, g_size); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1575:10: required from here 1575 | bool primary_model_fit(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ AlgorithmGLM.h:238:13: warning: unused variable ‘n’ [-Wunused-variable] 238 | int n = X.rows(); | ^ AlgorithmGLM.h:239:13: warning: unused variable ‘p’ [-Wunused-variable] 239 | int p = X.cols(); | ^ AlgorithmGLM.h:240:13: warning: unused variable ‘M’ [-Wunused-variable] 240 | int M = y.cols(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Transpose >, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Transpose >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Transpose >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Transpose >, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Transpose >, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ utilities.h:386:38: required from ‘void pi(T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 386 | Eigen::MatrixXd Xbeta = X * beta + one * coef0.transpose(); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1378:11: required from ‘double abessMultinomial::loss_function(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1378 | pi(X, y, beta, coef0, pr); | ~~^~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1373:12: required from here 1373 | double loss_function(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ utilities.h:201:72: required from ‘Eigen::Matrix, -1, -1> Phi(T4&, Eigen::VectorXi, Eigen::VectorXi, int, int, int, double, Eigen::Matrix) [with T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 201 | 2 * lambda * Eigen::MatrixXd::Identity(gsize(i), gsize(i)) + group_XTX(i, 0) / double(n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:962:29: required from ‘void abessMLm::inital_setting(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 962 | this->PhiG = Phi(X, g_index, g_size, n, p, N, this->lambda_level, this->group_XTX); | ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:948:10: required from here 948 | void inital_setting(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::VectorXi &g_index, | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ AlgorithmGLM.h:1054:64: required from ‘Eigen::MatrixXd abessMLm::covariance_update_f_U(Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1054 | *this->covariance[Ai] = (*this->x).transpose() * (*this->x).col(Ai); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1099:49: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1099 | Eigen::MatrixXd XTXbeta = this->covariance_update_f_U(U_ind, A_ind) * beta_A; | ~~~~~~^~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ AlgorithmGLM.h: In instantiation of ‘bool _abessGLM::_approx_newton_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: AlgorithmGLM.h:77:26: required from ‘bool _abessGLM::primary_model_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 77 | return this->_approx_newton_fit(X, y, weights, beta, coef0, loss0, A, g_index, g_size); | ~~~~~~^~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:71:18: required from here 71 | virtual bool primary_model_fit(T4 &X, T1 &y, Eigen::VectorXd &weights, T2 &beta, T3 &coef0, double loss0, | ^~~~~~~~~~~~~~~~~ AlgorithmGLM.h:178:13: warning: unused variable ‘n’ [-Wunused-variable] 178 | int n = X.rows(); | ^ AlgorithmGLM.h:179:13: warning: unused variable ‘p’ [-Wunused-variable] 179 | int p = X.cols(); | ^ AlgorithmGLM.h:180:13: warning: unused variable ‘M’ [-Wunused-variable] 180 | int M = y.cols(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ AlgorithmGLM.h:265:41: required from ‘bool _abessGLM::_IRLS_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 265 | beta_full = XTX.ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:80:26: required from ‘bool _abessGLM::primary_model_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 80 | return this->_IRLS_fit(X, y, weights, beta, coef0, loss0, A, g_index, g_size); | ~~~~~~^~~~~~~~~ AlgorithmGLM.h:71:18: required from here 71 | virtual bool primary_model_fit(T4 &X, T1 &y, Eigen::VectorXd &weights, T2 &beta, T3 &coef0, double loss0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ AlgorithmGLM.h: In instantiation of ‘bool _abessGLM::_IRLS_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: AlgorithmGLM.h:80:26: required from ‘bool _abessGLM::primary_model_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 80 | return this->_IRLS_fit(X, y, weights, beta, coef0, loss0, A, g_index, g_size); | ~~~~~~^~~~~~~~~ AlgorithmGLM.h:71:18: required from here 71 | virtual bool primary_model_fit(T4 &X, T1 &y, Eigen::VectorXd &weights, T2 &beta, T3 &coef0, double loss0, | ^~~~~~~~~~~~~~~~~ AlgorithmGLM.h:238:13: warning: unused variable ‘n’ [-Wunused-variable] 238 | int n = X.rows(); | ^ AlgorithmGLM.h:239:13: warning: unused variable ‘p’ [-Wunused-variable] 239 | int p = X.cols(); | ^ AlgorithmGLM.h:240:13: warning: unused variable ‘M’ [-Wunused-variable] 240 | int M = y.cols(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ AlgorithmPCA.h:294:46: required from ‘Eigen::MatrixXd abessRPCA::HardImpute(T4&, Eigen::VectorXi&, int, double) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 294 | eps = (Z_new - Z_old).squaredNorm() / Z_old.squaredNorm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ AlgorithmPCA.h:182:25: required from ‘bool abessRPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 182 | this->L = this->HardImpute(x, A, 1000, 1e-5); | ~~~~~~^~~~~~~~~~ AlgorithmPCA.h:177:10: required from here 177 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ ../inst/include/Spectra/SymEigsBase.h:298:21: required from ‘void Spectra::SymEigsBase::init(const Scalar*) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Scalar = double]’ 298 | MapConstVec v0(init_resid, m_n); | ^~ ../inst/include/Spectra/SymEigsBase.h:313:13: required from ‘void Spectra::SymEigsBase::init() [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp]’ 313 | init(init_resid.data()); | ~~~~^~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:55:17: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 55 | eig.init(); | ~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ ../inst/include/Spectra/LinAlg/Lanczos.h:88:29: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 88 | MapConstMat V(m_fac_V.data(), m_n, i); // The first i columns | ^ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 342 | m_fac.factorize_from(1, m_ncv, m_nmatop); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Lanczos.h:110:50: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 110 | w.noalias() -= m_fac_H(i, i - 1) * m_fac_V.col(i - 1); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 342 | m_fac.factorize_from(1, m_ncv, m_nmatop); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Lanczos.h:116:51: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 116 | m_fac_f.noalias() = w - m_fac_H(i, i) * v; | ~~~~~~~~~~~~~~^~~ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 342 | m_fac.factorize_from(1, m_ncv, m_nmatop); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Lanczos.h:116:35: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 116 | m_fac_f.noalias() = w - m_fac_H(i, i) * v; | ~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 342 | m_fac.factorize_from(1, m_ncv, m_nmatop); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ ../inst/include/Spectra/LinAlg/Lanczos.h:122:20: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 122 | MapMat Vs(m_fac_V.data(), m_n, i1); // The first (i+1) columns | ^~ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 342 | m_fac.factorize_from(1, m_ncv, m_nmatop); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::InnerStride<1> > >’ 59 | template class RefBase | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::InnerStride<1> >’ 281 | template class Ref | ^~~ ../inst/include/Spectra/LinAlg/Lanczos.h:123:31: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 123 | m_op.trans_product(Vs, m_fac_f, Vf.head(i1)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 342 | m_fac.factorize_from(1, m_ncv, m_nmatop); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Lanczos.h:124:52: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 124 | Scalar ortho_err = Vf.head(i1).cwiseAbs().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 342 | m_fac.factorize_from(1, m_ncv, m_nmatop); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Spectra/LinAlg/Lanczos.h:142:41: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 142 | m_fac_f.noalias() -= Vs * Vf.head(i1); | ~~~^~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 342 | m_fac.factorize_from(1, m_ncv, m_nmatop); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ ../inst/include/Spectra/SymEigsBase.h:141:15: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::num_converged(const Scalar&) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 141 | Array thresh = tol * m_ritz_val.head(m_nev).array().abs().max(eps23); | ^~~~~~ ../inst/include/Spectra/SymEigsBase.h:348:21: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 348 | nconv = num_converged(tol); | ^~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:141:58: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::num_converged(const Scalar&) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 141 | Array thresh = tol * m_ritz_val.head(m_nev).array().abs().max(eps23); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Spectra/SymEigsBase.h:348:21: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 348 | nconv = num_converged(tol); | ^~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:141:64: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::num_converged(const Scalar&) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 141 | Array thresh = tol * m_ritz_val.head(m_nev).array().abs().max(eps23); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Spectra/SymEigsBase.h:348:21: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 348 | nconv = num_converged(tol); | ^~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:141:70: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::num_converged(const Scalar&) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 141 | Array thresh = tol * m_ritz_val.head(m_nev).array().abs().max(eps23); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/include/Spectra/SymEigsBase.h:348:21: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 348 | nconv = num_converged(tol); | ^~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:141:70: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::num_converged(const Scalar&) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 141 | Array thresh = tol * m_ritz_val.head(m_nev).array().abs().max(eps23); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/include/Spectra/SymEigsBase.h:348:21: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 348 | nconv = num_converged(tol); | ^~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:141:28: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::num_converged(const Scalar&) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 141 | Array thresh = tol * m_ritz_val.head(m_nev).array().abs().max(eps23); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:348:21: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 348 | nconv = num_converged(tol); | ^~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:142:60: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::num_converged(const Scalar&) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 142 | Array resid = m_ritz_est.head(m_nev).array().abs() * m_fac.f_norm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:348:21: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 348 | nconv = num_converged(tol); | ^~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ 59 | template class RefBase | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ 281 | template class Ref | ^~~ ../inst/include/Spectra/SymEigsBase.h:116:28: required from ‘void Spectra::SymEigsBase::restart(Index, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int]’ 116 | decomp.apply_YQ(Q); | ~~~~~~~~~~~~~~~^~~ ../inst/include/Spectra/SymEigsBase.h:353:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 353 | restart(nev_adj, selection); | ^~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:24: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:34: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 453 | RealScalar scale = mat.cwiseAbs().maxCoeff(); | ~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1925 | Eigen::SelfAdjointEigenSolver adjoint_eigen_solver(XGbar); | ^~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1904:12: required from here 1904 | double effective_number_of_parameter(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::VectorXd &weights, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ AlgorithmGLM.h:97:30: required from ‘double _abessGLM::loss_function(T4&, T1&, Eigen::VectorXd&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 97 | return -log_proba.dot(weights) + lambda * beta.cwiseAbs2().sum(); | ~~~~~~~~~~~~~^~~~~~~~~ AlgorithmGLM.h:85:20: required from here 85 | virtual double loss_function(T4 &X, T1 &y, Eigen::VectorXd &weights, T2 &beta, T3 &coef0, Eigen::VectorXi &A, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 687 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ utilities.h:189:27: required from ‘Eigen::Matrix compute_group_XTX(T4&, Eigen::VectorXi, Eigen::VectorXi, int, int, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix]’ 189 | T4 X_ind = X.block(0, index(i), n, gsize(i)); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:952:52: required from ‘void abessMLm::inital_setting(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 952 | this->group_XTX = compute_group_XTX(X, g_index, g_size, n, p, N); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:948:10: required from here 948 | void inital_setting(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::VectorXi &g_index, | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ AlgorithmGLM.h:804:56: required from ‘double abessCox::loss_function(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 804 | double loglik_cox = (ratio.cwiseProduct(y)).dot(weights); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ AlgorithmGLM.h:792:12: required from here 792 | double loss_function(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ AlgorithmGLM.h:1763:61: required from ‘bool abessOrdinal::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1763 | h_diag(i + k) = X.col(i).cwiseProduct(W).dot(X.col(i)) + 2 * this->lambda_level; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ AlgorithmGLM.h:1721:10: required from here 1721 | bool primary_model_fit(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Spectra/Util/SimpleRandom.h:82:35: required from ‘void Spectra::SimpleRandom::random_vec(Vector&) [with Scalar = double; Vector = Eigen::Matrix]’ 82 | vec.array() = vec.array() / Scalar(m_max) - Scalar(0.5); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~ ../inst/include/Spectra/Util/SimpleRandom.h:90:19: required from ‘Spectra::SimpleRandom::Vector Spectra::SimpleRandom::random_vec(Index) [with Scalar = double; Vector = Eigen::Matrix; Index = long int]’ 90 | random_vec(res); | ~~~~~~~~~~^~~~~ ../inst/include/Spectra/SymEigsBase.h:312:43: required from ‘void Spectra::SymEigsBase::init() [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp]’ 312 | Vector init_resid = rng.random_vec(m_n); | ~~~~~~~~~~~~~~^~~~~ AlgorithmPCA.h:55:17: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 55 | eig.init(); | ~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Spectra/Util/SimpleRandom.h:82:51: required from ‘void Spectra::SimpleRandom::random_vec(Vector&) [with Scalar = double; Vector = Eigen::Matrix]’ 82 | vec.array() = vec.array() / Scalar(m_max) - Scalar(0.5); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/include/Spectra/Util/SimpleRandom.h:90:19: required from ‘Spectra::SimpleRandom::Vector Spectra::SimpleRandom::random_vec(Index) [with Scalar = double; Vector = Eigen::Matrix; Index = long int]’ 90 | random_vec(res); | ~~~~~~~~~~^~~~~ ../inst/include/Spectra/SymEigsBase.h:312:43: required from ‘void Spectra::SymEigsBase::init() [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp]’ 312 | Vector init_resid = rng.random_vec(m_n); | ~~~~~~~~~~~~~~^~~~~ AlgorithmPCA.h:55:17: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 55 | eig.init(); | ~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Arnoldi.h:158:35: required from ‘void Spectra::Arnoldi::init(MapConstVec&, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; MapConstVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Index = long int]’ 158 | m_fac_f.noalias() = w - v * m_fac_H(0, 0); | ~~^~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:299:19: required from ‘void Spectra::SymEigsBase::init(const Scalar*) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Scalar = double]’ 299 | m_fac.init(v0, m_nmatop); | ~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:313:13: required from ‘void Spectra::SymEigsBase::init() [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp]’ 313 | init(init_resid.data()); | ~~~~^~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:55:17: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 55 | eig.init(); | ~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Arnoldi.h:158:31: required from ‘void Spectra::Arnoldi::init(MapConstVec&, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; MapConstVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Index = long int]’ 158 | m_fac_f.noalias() = w - v * m_fac_H(0, 0); | ~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:299:19: required from ‘void Spectra::SymEigsBase::init(const Scalar*) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Scalar = double]’ 299 | m_fac.init(v0, m_nmatop); | ~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:313:13: required from ‘void Spectra::SymEigsBase::init() [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp]’ 313 | init(init_resid.data()); | ~~~~^~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:55:17: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 55 | eig.init(); | ~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Arnoldi.h:162:29: required from ‘void Spectra::Arnoldi::init(MapConstVec&, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; MapConstVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Index = long int]’ 162 | if (m_fac_f.cwiseAbs().maxCoeff() < m_eps) | ~~~~~~~~~~~~~~~~^~ ../inst/include/Spectra/SymEigsBase.h:299:19: required from ‘void Spectra::SymEigsBase::init(const Scalar*) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Scalar = double]’ 299 | m_fac.init(v0, m_nmatop); | ~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:313:13: required from ‘void Spectra::SymEigsBase::init() [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp]’ 313 | init(init_resid.data()); | ~~~~^~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:55:17: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 55 | eig.init(); | ~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Spectra/LinAlg/Arnoldi.h:82:30: required from ‘void Spectra::Arnoldi::expand_basis(MapConstMat&, Index, Vector&, Scalar&, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; MapConstMat = Eigen::Map, 0, Eigen::Stride<0, 0> >; Index = long int; Vector = Eigen::Matrix]’ 82 | f.noalias() -= V * Vf; | ~~^~~~ ../inst/include/Spectra/LinAlg/Lanczos.h:89:35: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 89 | this->expand_basis(V, 2 * i, m_fac_f, m_beta, op_counter); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 342 | m_fac.factorize_from(1, m_ncv, m_nmatop); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:135:36: required from ‘void Spectra::ArnoldiOp::trans_product(const Arg1&, const Arg2&, Eigen::Ref >) const [with Arg1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix; Scalar = double; OpType = Spectra::DenseSymMatProd; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 135 | res.noalias() = x.transpose() * y; | ~~~~~~~~~~~^~ ../inst/include/Spectra/LinAlg/Lanczos.h:123:31: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 123 | m_op.trans_product(Vs, m_fac_f, Vf.head(i1)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 342 | m_fac.factorize_from(1, m_ncv, m_nmatop); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:135:39: required from ‘void Spectra::ArnoldiOp::trans_product(const Arg1&, const Arg2&, Eigen::Ref >) const [with Arg1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix; Scalar = double; OpType = Spectra::DenseSymMatProd; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 135 | res.noalias() = x.transpose() * y; | ~~~~~~~~~~~~~~^~~ ../inst/include/Spectra/LinAlg/Lanczos.h:123:31: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 123 | m_op.trans_product(Vs, m_fac_f, Vf.head(i1)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 342 | m_fac.factorize_from(1, m_ncv, m_nmatop); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0>’ 63 | template class Diagonal | ^~~~~~~~ ../inst/include/Spectra/LinAlg/UpperHessenbergQR.h:614:42: required from ‘void Spectra::TridiagQR::compute(ConstGenericMatrix&, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ 614 | m_T_diag.noalias() = mat.diagonal(); | ~~~~~~~~~~~~^~ ../inst/include/Spectra/SymEigsBase.h:113:27: required from ‘void Spectra::SymEigsBase::restart(Index, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int]’ 113 | decomp.compute(m_fac.matrix_H(), shifts[i]); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:353:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 353 | restart(nev_adj, selection); | ^~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 16777215>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 16777215>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 16777215> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 16777215> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0, Eigen::OuterStride<> >, 16777215>’ 63 | template class Diagonal | ^~~~~~~~ ../inst/include/Spectra/LinAlg/UpperHessenbergQR.h:615:42: required from ‘void Spectra::TridiagQR::compute(ConstGenericMatrix&, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ 615 | m_T_subd.noalias() = mat.diagonal(-1); | ~~~~~~~~~~~~^~~~ ../inst/include/Spectra/SymEigsBase.h:113:27: required from ‘void Spectra::SymEigsBase::restart(Index, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int]’ 113 | decomp.compute(m_fac.matrix_H(), shifts[i]); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:353:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 353 | restart(nev_adj, selection); | ^~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Spectra/LinAlg/Arnoldi.h:302:57: required from ‘void Spectra::Arnoldi::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Matrix = Eigen::Matrix]’ 302 | Vs.col(i).noalias() = m_fac_V.leftCols(nnz) * q; | ~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Spectra/SymEigsBase.h:123:25: required from ‘void Spectra::SymEigsBase::restart(Index, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int]’ 123 | m_fac.compress_V(Q); | ~~~~~~~~~~~~~~~~^~~ ../inst/include/Spectra/SymEigsBase.h:353:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 353 | restart(nev_adj, selection); | ^~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Spectra/LinAlg/Arnoldi.h:304:41: required from ‘void Spectra::Arnoldi::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Matrix = Eigen::Matrix]’ 304 | Vs.col(m_k).noalias() = m_fac_V * Q.col(m_k); | ~~~~~~~~^~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:123:25: required from ‘void Spectra::SymEigsBase::restart(Index, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int]’ 123 | m_fac.compress_V(Q); | ~~~~~~~~~~~~~~~~^~~ ../inst/include/Spectra/SymEigsBase.h:353:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 353 | restart(nev_adj, selection); | ^~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Arnoldi.h:307:70: required from ‘void Spectra::Arnoldi::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Matrix = Eigen::Matrix]’ 307 | Vector fk = m_fac_f * Q(m_m - 1, m_k - 1) + m_fac_V.col(m_k) * m_fac_H(m_k, m_k - 1); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:123:25: required from ‘void Spectra::SymEigsBase::restart(Index, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int]’ 123 | m_fac.compress_V(Q); | ~~~~~~~~~~~~~~~~^~~ ../inst/include/Spectra/SymEigsBase.h:353:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 353 | restart(nev_adj, selection); | ^~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Arnoldi.h:307:51: required from ‘void Spectra::Arnoldi::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Matrix = Eigen::Matrix]’ 307 | Vector fk = m_fac_f * Q(m_m - 1, m_k - 1) + m_fac_V.col(m_k) * m_fac_H(m_k, m_k - 1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:123:25: required from ‘void Spectra::SymEigsBase::restart(Index, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int]’ 123 | m_fac.compress_V(Q); | ~~~~~~~~~~~~~~~~^~~ ../inst/include/Spectra/SymEigsBase.h:353:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 353 | restart(nev_adj, selection); | ^~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:101: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1889:48: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1889 | Eigen::MatrixXd invphiG = phiG.ldlt().solve( | ~~~~~~~~~^~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:133:56: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 133 | betabar.block(g_index(i), 0, g_size(i), M) = phiG * beta.block(g_index(i), 0, g_size(i), M); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:99:18: required from here 99 | virtual void sacrifice(T4 &X, T4 &XA, T1 &y, T2 &beta, T2 &beta_A, T3 &coef0, Eigen::VectorXi &A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:167:44: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ AlgorithmGLM.h:1435:66: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1435 | bd(i) = (temp * XGbar * temp.transpose()).squaredNorm() / g_size(i); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ AlgorithmGLM.h:1387:10: required from here 1387 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:79:38: required from ‘double abessPCA::loss_function(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 79 | return -beta.transpose() * Y * beta; | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmPCA.h:69:12: required from here 69 | double loss_function(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:79:38: required from ‘double abessPCA::loss_function(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 79 | return -beta.transpose() * Y * beta; | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmPCA.h:69:12: required from here 69 | double loss_function(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:135:36: required from ‘void Spectra::ArnoldiOp::trans_product(const Arg1&, const Arg2&, Eigen::Ref >) const [with Arg1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix; Scalar = double; OpType = Spectra::DenseSymMatProd; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 135 | res.noalias() = x.transpose() * y; | ~~~~~~~~~~~^~ ../inst/include/Spectra/LinAlg/Arnoldi.h:81:31: required from ‘void Spectra::Arnoldi::expand_basis(MapConstMat&, Index, Vector&, Scalar&, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; MapConstMat = Eigen::Map, 0, Eigen::Stride<0, 0> >; Index = long int; Vector = Eigen::Matrix]’ 81 | m_op.trans_product(V, f, Vf); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/include/Spectra/LinAlg/Lanczos.h:89:35: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 89 | this->expand_basis(V, 2 * i, m_fac_f, m_beta, op_counter); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 342 | m_fac.factorize_from(1, m_ncv, m_nmatop); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:135:39: required from ‘void Spectra::ArnoldiOp::trans_product(const Arg1&, const Arg2&, Eigen::Ref >) const [with Arg1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix; Scalar = double; OpType = Spectra::DenseSymMatProd; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 135 | res.noalias() = x.transpose() * y; | ~~~~~~~~~~~~~~^~~ ../inst/include/Spectra/LinAlg/Arnoldi.h:81:31: required from ‘void Spectra::Arnoldi::expand_basis(MapConstMat&, Index, Vector&, Scalar&, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; MapConstMat = Eigen::Map, 0, Eigen::Stride<0, 0> >; Index = long int; Vector = Eigen::Matrix]’ 81 | m_op.trans_product(V, f, Vf); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/include/Spectra/LinAlg/Lanczos.h:89:35: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 89 | this->expand_basis(V, 2 * i, m_fac_f, m_beta, op_counter); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 342 | m_fac.factorize_from(1, m_ncv, m_nmatop); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Spectra/MatOp/DenseSymMatProd.h:85:62: required from ‘void Spectra::DenseSymMatProd::perform_op(const Scalar*, Scalar*) const [with Scalar_ = double; int Uplo = 1; int Flags = 0; Scalar = double]’ 85 | y.noalias() = m_mat.template selfadjointView() * x; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:148:24: required from ‘void Spectra::ArnoldiOp::perform_op(const Scalar*, Scalar*) const [with Scalar = double; OpType = Spectra::DenseSymMatProd]’ 148 | m_op.perform_op(x_in, y_out); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Lanczos.h:102:28: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 102 | m_op.perform_op(v.data(), w.data()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 342 | m_fac.factorize_from(1, m_ncv, m_nmatop); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/TridiagEigen.h:137:64: required from ‘void Spectra::TridiagEigen::compute(ConstGenericMatrix&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ 137 | const Scalar scale = (std::max)(mat.diagonal().cwiseAbs().maxCoeff(), | ~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Spectra/LinAlg/TridiagEigen.h:116:9: required from ‘Spectra::TridiagEigen::TridiagEigen(ConstGenericMatrix&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ 116 | compute(mat); | ^~~~~~~ ../inst/include/Spectra/SymEigsBase.h:179:30: required from ‘void Spectra::SymEigsBase::retrieve_ritzpair(Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp]’ 179 | TridiagEigen decomp(m_fac.matrix_H()); | ^~~~~~ ../inst/include/Spectra/SymEigsBase.h:343:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 343 | retrieve_ritzpair(selection); | ^~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 16777215> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 16777215> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 16777215> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 16777215>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 16777215> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/TridiagEigen.h:138:66: required from ‘void Spectra::TridiagEigen::compute(ConstGenericMatrix&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ 138 | mat.diagonal(-1).cwiseAbs().maxCoeff()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Spectra/LinAlg/TridiagEigen.h:116:9: required from ‘Spectra::TridiagEigen::TridiagEigen(ConstGenericMatrix&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ 116 | compute(mat); | ^~~~~~~ ../inst/include/Spectra/SymEigsBase.h:179:30: required from ‘void Spectra::SymEigsBase::retrieve_ritzpair(Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp]’ 179 | TridiagEigen decomp(m_fac.matrix_H()); | ^~~~~~ ../inst/include/Spectra/SymEigsBase.h:343:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 343 | retrieve_ritzpair(selection); | ^~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/TridiagEigen.h:149:48: required from ‘void Spectra::TridiagEigen::compute(ConstGenericMatrix&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ 149 | m_main_diag.noalias() = mat.diagonal() / scale; | ~~~~~~~~~~~~~~~^~~~~~~ ../inst/include/Spectra/LinAlg/TridiagEigen.h:116:9: required from ‘Spectra::TridiagEigen::TridiagEigen(ConstGenericMatrix&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ 116 | compute(mat); | ^~~~~~~ ../inst/include/Spectra/SymEigsBase.h:179:30: required from ‘void Spectra::SymEigsBase::retrieve_ritzpair(Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp]’ 179 | TridiagEigen decomp(m_fac.matrix_H()); | ^~~~~~ ../inst/include/Spectra/SymEigsBase.h:343:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 343 | retrieve_ritzpair(selection); | ^~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 16777215>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 16777215>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 16777215>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 16777215>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 16777215>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/TridiagEigen.h:150:49: required from ‘void Spectra::TridiagEigen::compute(ConstGenericMatrix&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ 150 | m_sub_diag.noalias() = mat.diagonal(-1) / scale; | ~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/include/Spectra/LinAlg/TridiagEigen.h:116:9: required from ‘Spectra::TridiagEigen::TridiagEigen(ConstGenericMatrix&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ 116 | compute(mat); | ^~~~~~~ ../inst/include/Spectra/SymEigsBase.h:179:30: required from ‘void Spectra::SymEigsBase::retrieve_ritzpair(Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp]’ 179 | TridiagEigen decomp(m_fac.matrix_H()); | ^~~~~~ ../inst/include/Spectra/SymEigsBase.h:343:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 343 | retrieve_ritzpair(selection); | ^~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16777215>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16777215>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16777215>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16777215> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16777215> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 16777215>’ 63 | template class Diagonal | ^~~~~~~~ ../inst/include/Spectra/LinAlg/UpperHessenbergQR.h:726:22: required from ‘void Spectra::TridiagQR::matrix_QtHQ(Matrix&) const [with Scalar = double; Matrix = Eigen::Matrix]’ 726 | dest.diagonal(-1).noalias() = m_T_subd; | ~~~~~~~~~~~~~^~~~ ../inst/include/Spectra/LinAlg/Lanczos.h:164:27: required from ‘void Spectra::Lanczos::compress_H(const Spectra::TridiagQR&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>]’ 164 | decomp.matrix_QtHQ(m_fac_H); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:120:29: required from ‘void Spectra::SymEigsBase::restart(Index, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int]’ 120 | m_fac.compress_H(decomp); | ~~~~~~~~~~~~~~~~^~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:353:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 353 | restart(nev_adj, selection); | ^~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1837:59: required from ‘double abessOrdinal::loss_function(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1837 | double loss = lambda * beta.col(0).cwiseAbs2().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ AlgorithmGLM.h:1829:12: required from here 1829 | double loss_function(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue > >’ 50 | template class ReturnByValue | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:339:38: required from ‘struct Eigen::internal::HessenbergDecompositionMatrixHReturnType >’ 339 | template struct HessenbergDecompositionMatrixHReturnType | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:39: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:26: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 325 | mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1889:48: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1889 | Eigen::MatrixXd invphiG = phiG.ldlt().solve( | ~~~~~~~~~^~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 325 | mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1889:48: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1889 | Eigen::MatrixXd invphiG = phiG.ldlt().solve( | ~~~~~~~~~^~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 352 | Block A21(mat,k+1,k,rs,1); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1889:48: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1889 | Eigen::MatrixXd invphiG = phiG.ldlt().solve( | ~~~~~~~~~^~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:80: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 358 | temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint(); | ~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1889:48: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1889 | Eigen::MatrixXd invphiG = phiG.ldlt().solve( | ~~~~~~~~~^~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:67: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 358 | temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1889:48: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1889 | Eigen::MatrixXd invphiG = phiG.ldlt().solve( | ~~~~~~~~~^~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 359 | mat.coeffRef(k,k) -= (A10 * temp.head(k)).value(); | ~~~~~^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1889:48: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1889 | Eigen::MatrixXd invphiG = phiG.ldlt().solve( | ~~~~~~~~~^~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1889:48: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1889 | Eigen::MatrixXd invphiG = phiG.ldlt().solve( | ~~~~~~~~~^~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 379 | ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1889:48: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1889 | Eigen::MatrixXd invphiG = phiG.ldlt().solve( | ~~~~~~~~~^~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 387 | ret = ret && (A21.array()==Scalar(0)).all(); | ~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1889:48: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1889 | Eigen::MatrixXd invphiG = phiG.ldlt().solve( | ~~~~~~~~~^~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ 63 | template class Diagonal | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:451:40: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 451 | subdiag = mat.template diagonal<-1>().real(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1925 | Eigen::SelfAdjointEigenSolver adjoint_eigen_solver(XGbar); | ^~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1904:12: required from here 1904 | double effective_number_of_parameter(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::VectorXd &weights, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1384:50: required from ‘double abessMultinomial::loss_function(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1384 | return -((log_pr.array() * y.array()).sum()) + lambda * beta.cwiseAbs2().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ AlgorithmGLM.h:1373:12: required from here 1373 | double loss_function(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1026:79: required from ‘double abessMLm::loss_function(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1026 | return (y - X * beta - array_product(one, coef0)).array().square().sum() / n / 2.0 + | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ AlgorithmGLM.h:1021:12: required from here 1021 | double loss_function(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:434:65: required from ‘double abessLm::loss_function(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 434 | return (y - X * beta - coef0 * one).array().square().sum() / n / 2. + lambda * beta.cwiseAbs2().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ AlgorithmGLM.h:430:12: required from here 430 | double loss_function(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1026:79: required from ‘double abessMLm::loss_function(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1026 | return (y - X * beta - array_product(one, coef0)).array().square().sum() / n / 2.0 + | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ AlgorithmGLM.h:1021:12: required from here 1021 | double loss_function(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:434:65: required from ‘double abessLm::loss_function(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 434 | return (y - X * beta - coef0 * one).array().square().sum() / n / 2. + lambda * beta.cwiseAbs2().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ AlgorithmGLM.h:430:12: required from here 430 | double loss_function(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:127:21: required from ‘Scalar Spectra::ArnoldiOp::inner_product(const Arg1&, const Arg2&) const [with Arg1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix; Scalar = double; OpType = Spectra::DenseSymMatProd]’ 127 | return x.dot(y); | ~~~~~^~~ ../inst/include/Spectra/LinAlg/Lanczos.h:113:47: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 113 | m_fac_H(i, i) = m_op.inner_product(v, w); | ~~~~~~~~~~~~~~~~~~^~~~~~ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 342 | m_fac.factorize_from(1, m_ncv, m_nmatop); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::PartialReduxExpr, member_sum, 0>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::PartialReduxExpr, member_sum, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; Derived = Eigen::Block, -1, 1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1654:46: required from ‘bool abessOrdinal::gradient(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1654 | g.head(k) = grad_L.colwise().sum(); | ^ AlgorithmGLM.h:1872:9: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1872 | gradient(X, y, weights, beta, coef0, d); | ^~~~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:339:18: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 339 | Vector3s firstHouseholderVector = Vector3s::Zero(), shiftInfo; | ^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:339:57: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 339 | Vector3s firstHouseholderVector = Vector3s::Zero(), shiftInfo; | ~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 2, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 2, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:229:22: required from ‘class Eigen::RealSchur >’ 229 | ColumnVectorType m_workspaceVector; | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:316:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 2, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 2, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Product, 2, 2>, Eigen::DiagonalWrapper >, const Eigen::Matrix, 2, 1> > >, 1>, Eigen::Inverse, 2, 2> >, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Product, 2, 2>, Eigen::DiagonalWrapper >, const Eigen::Matrix, 2, 1> > >, 1>, Eigen::Inverse, 2, 2> >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Product, 2, 2>, Eigen::DiagonalWrapper >, const Eigen::Matrix, 2, 1> > >, 1>, Eigen::Inverse, 2, 2> >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >, const Eigen::Product, 2, 2>, Eigen::DiagonalWrapper >, const Eigen::Matrix, 2, 1> > >, 1>, Eigen::Inverse, 2, 2> >, 0>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >, const Eigen::Product, 2, 2>, Eigen::DiagonalWrapper >, const Eigen::Matrix, 2, 1> > >, 1>, Eigen::Inverse, 2, 2> >, 0> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:28:105: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; Eigen::Index = long int]’ 28 | = (es.eigenvectors() * es.eigenvalues().cwiseSqrt().asDiagonal() * es.eigenvectors().inverse()).real(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:63:73: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; Eigen::Index = long int]’ 63 | Matrix A = sqrtT.coeff(j,j) * Matrix::Identity(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:63:43: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; Eigen::Index = long int]’ 63 | Matrix A = sqrtT.coeff(j,j) * Matrix::Identity(); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:55: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 2, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 155 | matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 2, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 2, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 2, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 2, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 2, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 2, 2, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 155 | matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 155 | matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 2, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 155 | matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 155 | matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Transpose >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Transpose > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:52:67: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; Eigen::Index = long int]’ 52 | sqrtT.template block<1,2>(i,j).transpose() = A.fullPivLu().solve(rhs.transpose()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 155 | matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, 1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, 1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:157:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 157 | matrix_sqrt_quasi_triangular_1x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1889:48: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1889 | Eigen::MatrixXd invphiG = phiG.ldlt().solve( | ~~~~~~~~~^~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1889:48: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1889 | Eigen::MatrixXd invphiG = phiG.ldlt().solve( | ~~~~~~~~~^~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 1464 | struct unary_evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 379 | ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1889:48: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1889 | Eigen::MatrixXd invphiG = phiG.ldlt().solve( | ~~~~~~~~~^~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 1464 | struct unary_evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:50: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 387 | ret = ret && (A21.array()==Scalar(0)).all(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1889:48: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1889 | Eigen::MatrixXd invphiG = phiG.ldlt().solve( | ~~~~~~~~~^~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ AlgorithmGLM.h:1897:80: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1897 | bd(A[i]) = betabar.segment(g_indeX(A[i]), g_size(A[i])).squaredNorm() / g_size(A[i]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 370 | * (conj(h) * matA.col(i).tail(remainingSize))); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1925 | Eigen::SelfAdjointEigenSolver adjoint_eigen_solver(XGbar); | ^~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1904:12: required from here 1904 | double effective_number_of_parameter(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::VectorXd &weights, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1925 | Eigen::SelfAdjointEigenSolver adjoint_eigen_solver(XGbar); | ^~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1904:12: required from here 1904 | double effective_number_of_parameter(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::VectorXd &weights, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ 895 | q.applyOnTheRight(k,k+1,rot); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ 548 | internal::tridiagonal_qr_step(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1925 | Eigen::SelfAdjointEigenSolver adjoint_eigen_solver(XGbar); | ^~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1904:12: required from here 1904 | double effective_number_of_parameter(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::VectorXd &weights, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1194:15: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1194 | OtherCopy otherCopy(other.derived()); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:689:15: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 689 | *this = other.derived(); | ~~~~~~^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:231:7: required from ‘void Eigen::Ref, _Options, _StrideType>::construct(const Expression&, Eigen::internal::false_type) [with Expression = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ 231 | ::new (obj) TPlainObjectType(expr); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:190:16: required from ‘Eigen::Ref, _Options, _StrideType>::Ref(const Eigen::SparseMatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ 190 | construct(expr.derived(), typename Traits::template match::type()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; BlockType = Eigen::Block, -1, 1, true>]’ 128 | Ref > tmp(other.derived()); | ^~~ AlgorithmGLM.h:1418:31: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1418 | XG_new.col(m) = h.col(m).cwiseProduct(XG).cwiseProduct(weights); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1387:10: required from here 1387 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1195:19: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1195 | OtherCopyEval otherCopyEval(otherCopy); | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:689:15: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 689 | *this = other.derived(); | ~~~~~~^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:231:7: required from ‘void Eigen::Ref, _Options, _StrideType>::construct(const Expression&, Eigen::internal::false_type) [with Expression = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ 231 | ::new (obj) TPlainObjectType(expr); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:190:16: required from ‘Eigen::Ref, _Options, _StrideType>::Ref(const Eigen::SparseMatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ 190 | construct(expr.derived(), typename Traits::template match::type()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; BlockType = Eigen::Block, -1, 1, true>]’ 128 | Ref > tmp(other.derived()); | ^~~ AlgorithmGLM.h:1418:31: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1418 | XG_new.col(m) = h.col(m).cwiseProduct(XG).cwiseProduct(weights); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1387:10: required from here 1387 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ AlgorithmGLM.h:1435:66: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1435 | bd(i) = (temp * XGbar * temp.transpose()).squaredNorm() / g_size(i); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ AlgorithmGLM.h:1387:10: required from here 1387 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ AlgorithmGLM.h:1203:70: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1203 | double t = 2 * (Pi.array() * (one - Pi).array()).maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ AlgorithmGLM.h:1173:10: required from here 1173 | bool primary_model_fit(T4 &x, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/ConservativeSparseSparseProduct.h:173:17: required from ‘static void Eigen::internal::conservative_sparse_sparse_product_selector::run(const Lhs&, const Rhs&, ResultType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::SparseMatrix; ResultType = Eigen::SparseMatrix]’ 173 | RowMajorRhs rhsRow = rhs; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:76:107: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&, Eigen::SparseShape) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::SparseMatrix; int ProductType = 8]’ 75 | internal::conservative_sparse_sparse_product_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 76 | typename remove_all::type, Dest>::run(lhsNested,rhsNested,dst); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::SparseMatrix; int ProductType = 8]’ 43 | evalTo(dst, lhs, rhs, typename evaluator_traits::Shape()); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 174 | internal::generic_product_impl::evalTo(dst,src.lhs(),src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ utilities.h:190:19: required from ‘Eigen::Matrix compute_group_XTX(T4&, Eigen::VectorXi, Eigen::VectorXi, int, int, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix]’ 190 | XTX(i, 0) = X_ind.transpose() * X_ind; | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:952:52: required from ‘void abessMLm::inital_setting(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 952 | this->group_XTX = compute_group_XTX(X, g_index, g_size, n, p, N); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:948:10: required from here 948 | void inital_setting(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::VectorXi &g_index, | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ AlgorithmPCA.h:294:46: required from ‘Eigen::MatrixXd abessRPCA::HardImpute(T4&, Eigen::VectorXi&, int, double) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 294 | eps = (Z_new - Z_old).squaredNorm() / Z_old.squaredNorm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ AlgorithmPCA.h:182:25: required from ‘bool abessRPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 182 | this->L = this->HardImpute(x, A, 1000, 1e-5); | ~~~~~~^~~~~~~~~~ AlgorithmPCA.h:177:10: required from here 177 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:142:22: required from ‘Scalar Spectra::ArnoldiOp::norm(const Arg&) const [with Arg = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; OpType = Spectra::DenseSymMatProd]’ 142 | return x.norm(); | ~~~~~~^~ ../inst/include/Spectra/LinAlg/Arnoldi.h:138:40: required from ‘void Spectra::Arnoldi::init(MapConstVec&, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; MapConstVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Index = long int]’ 138 | const Scalar v0norm = m_op.norm(v0); | ~~~~~~~~~^~~~ ../inst/include/Spectra/SymEigsBase.h:299:19: required from ‘void Spectra::SymEigsBase::init(const Scalar*) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Scalar = double]’ 299 | m_fac.init(v0, m_nmatop); | ~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:313:13: required from ‘void Spectra::SymEigsBase::init() [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp]’ 313 | init(init_resid.data()); | ~~~~^~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:55:17: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 55 | eig.init(); | ~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:142:22: required from ‘Scalar Spectra::ArnoldiOp::norm(const Arg&) const [with Arg = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; OpType = Spectra::DenseSymMatProd]’ 142 | return x.norm(); | ~~~~~~^~ ../inst/include/Spectra/LinAlg/Arnoldi.h:149:39: required from ‘void Spectra::Arnoldi::init(MapConstVec&, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; MapConstVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Index = long int]’ 149 | const Scalar vnorm = m_op.norm(v); | ~~~~~~~~~^~~ ../inst/include/Spectra/SymEigsBase.h:299:19: required from ‘void Spectra::SymEigsBase::init(const Scalar*) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Scalar = double]’ 299 | m_fac.init(v0, m_nmatop); | ~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:313:13: required from ‘void Spectra::SymEigsBase::init() [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp]’ 313 | init(init_resid.data()); | ~~~~^~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:55:17: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 55 | eig.init(); | ~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:73:22: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_solve_auxiliary_equation(MatrixType&, const MatrixType&, const MatrixType&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 73 | Matrix coeffMatrix = Matrix::Zero(); | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:73:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_solve_auxiliary_equation(MatrixType&, const MatrixType&, const MatrixType&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 73 | Matrix coeffMatrix = Matrix::Zero(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:94:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1925 | Eigen::SelfAdjointEigenSolver adjoint_eigen_solver(XGbar); | ^~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1904:12: required from here 1904 | double effective_number_of_parameter(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::VectorXd &weights, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ 315 | internal::apply_rotation_in_the_plane(x, y, j.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ 895 | q.applyOnTheRight(k,k+1,rot); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ 548 | internal::tridiagonal_qr_step(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1925 | Eigen::SelfAdjointEigenSolver adjoint_eigen_solver(XGbar); | ^~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1904:12: required from here 1904 | double effective_number_of_parameter(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::VectorXd &weights, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ AlgorithmGLM.h:97:30: required from ‘double _abessGLM::loss_function(T4&, T1&, Eigen::VectorXd&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 97 | return -log_proba.dot(weights) + lambda * beta.cwiseAbs2().sum(); | ~~~~~~~~~~~~~^~~~~~~~~ AlgorithmGLM.h:85:20: required from here 85 | virtual double loss_function(T4 &X, T1 &y, Eigen::VectorXd &weights, T2 &beta, T3 &coef0, Eigen::VectorXi &A, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/ConservativeSparseSparseProduct.h:35:18: required from ‘void Eigen::internal::conservative_sparse_sparse_product_impl(const Lhs&, const Rhs&, ResultType&, bool) [with Lhs = Eigen::SparseMatrix; Rhs = Eigen::Transpose >; ResultType = Eigen::SparseMatrix]’ 35 | evaluator lhsEval(lhs); | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/ConservativeSparseSparseProduct.h:175:83: required from ‘static void Eigen::internal::conservative_sparse_sparse_product_selector::run(const Lhs&, const Rhs&, ResultType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::SparseMatrix; ResultType = Eigen::SparseMatrix]’ 175 | internal::conservative_sparse_sparse_product_impl(rhsRow, lhs, resRow); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:76:107: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&, Eigen::SparseShape) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::SparseMatrix; int ProductType = 8]’ 75 | internal::conservative_sparse_sparse_product_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 76 | typename remove_all::type, Dest>::run(lhsNested,rhsNested,dst); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::SparseMatrix; int ProductType = 8]’ 43 | evalTo(dst, lhs, rhs, typename evaluator_traits::Shape()); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 174 | internal::generic_product_impl::evalTo(dst,src.lhs(),src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ utilities.h:190:19: required from ‘Eigen::Matrix compute_group_XTX(T4&, Eigen::VectorXi, Eigen::VectorXi, int, int, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix]’ 190 | XTX(i, 0) = X_ind.transpose() * X_ind; | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:952:52: required from ‘void abessMLm::inital_setting(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 952 | this->group_XTX = compute_group_XTX(X, g_index, g_size, n, p, N); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:948:10: required from here 948 | void inital_setting(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::VectorXi &g_index, | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ AlgorithmGLM.h:804:56: required from ‘double abessCox::loss_function(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 804 | double loglik_cox = (ratio.cwiseProduct(y)).dot(weights); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ AlgorithmGLM.h:792:12: required from here 792 | double loss_function(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ AlgorithmGLM.h:1763:61: required from ‘bool abessOrdinal::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1763 | h_diag(i + k) = X.col(i).cwiseProduct(W).dot(X.col(i)) + 2 * this->lambda_level; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ AlgorithmGLM.h:1721:10: required from here 1721 | bool primary_model_fit(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Spectra/LinAlg/Lanczos.h:124:63: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 124 | Scalar ortho_err = Vf.head(i1).cwiseAbs().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 342 | m_fac.factorize_from(1, m_ncv, m_nmatop); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::Matrix; Derived = Eigen::Matrix; Scalar = double; RealScalar = double]’ 93 | essential = tail / (c0 - beta); | ~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:516:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 2, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 2, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 2, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Matrix; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::Matrix; Derived = Eigen::Matrix; Scalar = double; RealScalar = double]’ 93 | essential = tail / (c0 - beta); | ~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:536:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1889:48: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1889 | Eigen::MatrixXd invphiG = phiG.ldlt().solve( | ~~~~~~~~~^~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:54: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 325 | mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1889:48: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1889 | Eigen::MatrixXd invphiG = phiG.ldlt().solve( | ~~~~~~~~~^~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:1889:56: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1889 | Eigen::MatrixXd invphiG = phiG.ldlt().solve( | ~~~~~~~~~~~~~~~~~^ 1890 | Eigen::MatrixXd::Identity(g_size(i), g_size(i))); // this is a way to inverse a matriX. | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:1889:56: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1889 | Eigen::MatrixXd invphiG = phiG.ldlt().solve( | ~~~~~~~~~~~~~~~~~^ 1890 | Eigen::MatrixXd::Identity(g_size(i), g_size(i))); // this is a way to inverse a matriX. | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 453 | RealScalar scale = mat.cwiseAbs().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1925 | Eigen::SelfAdjointEigenSolver adjoint_eigen_solver(XGbar); | ^~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1904:12: required from here 1904 | double effective_number_of_parameter(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::VectorXd &weights, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1925 | Eigen::SelfAdjointEigenSolver adjoint_eigen_solver(XGbar); | ^~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1904:12: required from here 1904 | double effective_number_of_parameter(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::VectorXd &weights, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 93 | essential = tail / (c0 - beta); | ~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1925 | Eigen::SelfAdjointEigenSolver adjoint_eigen_solver(XGbar); | ^~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1904:12: required from here 1904 | double effective_number_of_parameter(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::VectorXd &weights, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1925 | Eigen::SelfAdjointEigenSolver adjoint_eigen_solver(XGbar); | ^~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1904:12: required from here 1904 | double effective_number_of_parameter(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::VectorXd &weights, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1925 | Eigen::SelfAdjointEigenSolver adjoint_eigen_solver(XGbar); | ^~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1904:12: required from here 1904 | double effective_number_of_parameter(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::VectorXd &weights, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ 34 | (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1925 | Eigen::SelfAdjointEigenSolver adjoint_eigen_solver(XGbar); | ^~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1904:12: required from here 1904 | double effective_number_of_parameter(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::VectorXd &weights, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ 35 | + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1925 | Eigen::SelfAdjointEigenSolver adjoint_eigen_solver(XGbar); | ^~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1904:12: required from here 1904 | double effective_number_of_parameter(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::VectorXd &weights, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ 34 | (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 35 | + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1925 | Eigen::SelfAdjointEigenSolver adjoint_eigen_solver(XGbar); | ^~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1904:12: required from here 1904 | double effective_number_of_parameter(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::VectorXd &weights, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:999:49: required from ‘bool abessMLm::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 999 | Eigen::MatrixXd beta0 = XTX.ldlt().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ AlgorithmGLM.h:981:10: required from here 981 | bool primary_model_fit(T4 &x, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:422:53: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 422 | Eigen::VectorXd beta_full = XTX.ldlt().solve(XTy); | ~~~~~~~~~~~~~~~~^~~~~ AlgorithmGLM.h:405:10: required from here 405 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:422:53: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 422 | Eigen::VectorXd beta_full = XTX.ldlt().solve(XTy); | ~~~~~~~~~~~~~~~~^~~~~ AlgorithmGLM.h:405:10: required from here 405 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:1923:52: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1923 | Eigen::MatrixXd XGbar = XA_new.transpose() * XA; | ~~~~~~~~~~~~~~~~~~~^~~~ AlgorithmGLM.h:1904:12: required from here 1904 | double effective_number_of_parameter(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::VectorXd &weights, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:1923:52: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1923 | Eigen::MatrixXd XGbar = XA_new.transpose() * XA; | ~~~~~~~~~~~~~~~~~~~^~~~ AlgorithmGLM.h:1904:12: required from here 1904 | double effective_number_of_parameter(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::VectorXd &weights, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:1923:52: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1923 | Eigen::MatrixXd XGbar = XA_new.transpose() * XA; | ~~~~~~~~~~~~~~~~~~~^~~~ AlgorithmGLM.h:1904:12: required from here 1904 | double effective_number_of_parameter(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::VectorXd &weights, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, 1, -1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:1923:52: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1923 | Eigen::MatrixXd XGbar = XA_new.transpose() * XA; | ~~~~~~~~~~~~~~~~~~~^~~~ AlgorithmGLM.h:1904:12: required from here 1904 | double effective_number_of_parameter(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::VectorXd &weights, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:1420:57: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1420 | Eigen::MatrixXd XGbar = -XG_new.transpose() * XG_new; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~ AlgorithmGLM.h:1387:10: required from here 1387 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:1420:57: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1420 | Eigen::MatrixXd XGbar = -XG_new.transpose() * XG_new; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~ AlgorithmGLM.h:1387:10: required from here 1387 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Transpose > >, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Transpose > >, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Transpose > >, 1, -1, true>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:1420:57: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1420 | Eigen::MatrixXd XGbar = -XG_new.transpose() * XG_new; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~ AlgorithmGLM.h:1387:10: required from here 1387 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:1420:57: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1420 | Eigen::MatrixXd XGbar = -XG_new.transpose() * XG_new; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~ AlgorithmGLM.h:1387:10: required from here 1387 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:999:49: required from ‘bool abessMLm::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 999 | Eigen::MatrixXd beta0 = XTX.ldlt().solve(X.adjoint() * y); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ AlgorithmGLM.h:981:10: required from here 981 | bool primary_model_fit(T4 &x, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:690:54: required from ‘bool abessCox::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 690 | Eigen::MatrixXd temp = x.transpose() * h * x; | ~~~~~~~~~~~~~~~~~~^~~ AlgorithmGLM.h:630:10: required from here 630 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weight, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:690:54: required from ‘bool abessCox::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 690 | Eigen::MatrixXd temp = x.transpose() * h * x; | ~~~~~~~~~~~~~~~~~~^~~ AlgorithmGLM.h:630:10: required from here 630 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weight, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:690:54: required from ‘bool abessCox::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 690 | Eigen::MatrixXd temp = x.transpose() * h * x; | ~~~~~~~~~~~~~~~~~~^~~ AlgorithmGLM.h:630:10: required from here 630 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weight, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:690:54: required from ‘bool abessCox::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 690 | Eigen::MatrixXd temp = x.transpose() * h * x; | ~~~~~~~~~~~~~~~~~~^~~ AlgorithmGLM.h:630:10: required from here 630 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weight, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmPCA.h:255:28: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ 255 | MatrixXd L = X * X.transpose(); | ~~^~~~~~~~~~~~~~~ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 153 | this->L = this->trun_svd(X); | ~~~~~~^~~~~~~~ AlgorithmPCA.h:144:21: required from here 144 | Eigen::VectorXi inital_screening(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmPCA.h:255:28: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ 255 | MatrixXd L = X * X.transpose(); | ~~^~~~~~~~~~~~~~~ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 153 | this->L = this->trun_svd(X); | ~~~~~~^~~~~~~~ AlgorithmPCA.h:144:21: required from here 144 | Eigen::VectorXi inital_screening(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmPCA.h:255:28: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ 255 | MatrixXd L = X * X.transpose(); | ~~^~~~~~~~~~~~~~~ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 153 | this->L = this->trun_svd(X); | ~~~~~~^~~~~~~~ AlgorithmPCA.h:144:21: required from here 144 | Eigen::VectorXi inital_screening(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmPCA.h:255:28: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ 255 | MatrixXd L = X * X.transpose(); | ~~^~~~~~~~~~~~~~~ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 153 | this->L = this->trun_svd(X); | ~~~~~~^~~~~~~~ AlgorithmPCA.h:144:21: required from here 144 | Eigen::VectorXi inital_screening(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:79:38: required from ‘double abessPCA::loss_function(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 79 | return -beta.transpose() * Y * beta; | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmPCA.h:69:12: required from here 69 | double loss_function(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Spectra/LinAlg/Arnoldi.h:162:40: required from ‘void Spectra::Arnoldi::init(MapConstVec&, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; MapConstVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Index = long int]’ 162 | if (m_fac_f.cwiseAbs().maxCoeff() < m_eps) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Spectra/SymEigsBase.h:299:19: required from ‘void Spectra::SymEigsBase::init(const Scalar*) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Scalar = double]’ 299 | m_fac.init(v0, m_nmatop); | ~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:313:13: required from ‘void Spectra::SymEigsBase::init() [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp]’ 313 | init(init_resid.data()); | ~~~~^~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:55:17: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 55 | eig.init(); | ~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Lanczos.h:142:35: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 142 | m_fac_f.noalias() -= Vs * Vf.head(i1); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 342 | m_fac.factorize_from(1, m_ncv, m_nmatop); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Lanczos.h:142:35: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 142 | m_fac_f.noalias() -= Vs * Vf.head(i1); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 342 | m_fac.factorize_from(1, m_ncv, m_nmatop); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 73 | triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, -1, -1, true>, 1, -1, false>; VectorY = Eigen::Block, -1, -1, true>, 1, -1, false>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:299:40: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Block, -1, -1, true>; Eigen::Index = long int]’ 299 | internal::apply_rotation_in_the_plane(x, y, j); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:417:47: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix; Index = long int; Scalar = double]’ 417 | m_matT.rightCols(size-iu+1).applyOnTheLeft(iu-1, iu, rot.adjoint()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, -1, -1, false>, -1, 1, true>; VectorY = Eigen::Block, -1, -1, false>, -1, 1, true>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Block, -1, -1, false>; Eigen::Index = long int]’ 315 | internal::apply_rotation_in_the_plane(x, y, j.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:418:41: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix; Index = long int; Scalar = double]’ 418 | m_matT.topRows(iu+1).applyOnTheRight(iu-1, iu, rot); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 2, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 2, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:258:43: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 258 | Scalar scale = matrix.derived().cwiseAbs().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:34: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~~~^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue > >’ 50 | template class ReturnByValue | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:339:38: required from ‘struct Eigen::internal::HessenbergDecompositionMatrixHReturnType >’ 339 | template struct HessenbergDecompositionMatrixHReturnType | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:39: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, 2, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, 2, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, 2, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, 2, false>, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, 2, false>, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:468:100: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 468 | norm += m_matT.row(j).segment((std::max)(j-1,Index(0)), size-(std::max)(j-1,Index(0))).cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:615:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, 2, 2>, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, 2, 2>, 2, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, 2, 2>, 2, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >, const Eigen::Block, 2, 2>, 2, 1, true>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >, const Eigen::Block, 2, 2>, 2, 1, true> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 2, 2>, 2, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = std::complex]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:147:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1925 | Eigen::SelfAdjointEigenSolver adjoint_eigen_solver(XGbar); | ^~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1904:12: required from here 1904 | double effective_number_of_parameter(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::VectorXd &weights, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 1, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 1, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, 1, false>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Block, 1, 1, false>; OtherDerived = Eigen::Block, 1, 1, false>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Block, 1, 1, false>; _Scalar = double; int _Rows = 1; int _Cols = 1; int _Options = 0; int _MaxRows = 1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Block, 1, 1, false>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ AlgorithmGLM.h:199:87: required from ‘bool _abessGLM::_approx_newton_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 199 | direction.row(i) -= 2 * this->lambda_level * beta_full.row(i).eval(); | ~~~~~~~~~~~~~~~~~~~~~^~ AlgorithmGLM.h:1586:44: required from ‘bool abessGamma::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1586 | return this->_approx_newton_fit(X, y, weights, beta, coef0, loss0, A, g_index, g_size); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1575:10: required from here 1575 | bool primary_model_fit(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:1300:54: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1300 | beta0_tmp = XTWX.ldlt().solve(XTW * Z); | ^ AlgorithmGLM.h:1173:10: required from here 1173 | bool primary_model_fit(T4 &x, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:697:19: required from ‘bool abessCox::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 697 | d = temp.ldlt().solve(x.transpose() * g - 2 * this->lambda_level * beta0); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:630:10: required from here 630 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weight, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 1, 1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18: required from ‘void Eigen::LDLT::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::Matrix; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 599 | dst.row(i) /= vecD(i); | ~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:569:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:422:53: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 422 | Eigen::VectorXd beta_full = XTX.ldlt().solve(XTy); | ~~~~~~~~~~~~~~~~^~~~~ AlgorithmGLM.h:405:10: required from here 405 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:1836:35: required from ‘double abessOrdinal::loss_function(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1836 | Eigen::VectorXd xbeta = X * beta.col(0); | ~~^~~~~~~~~~~~~ AlgorithmGLM.h:1829:12: required from here 1829 | double loss_function(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:1923:52: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1923 | Eigen::MatrixXd XGbar = XA_new.transpose() * XA; | ~~~~~~~~~~~~~~~~~~~^~~~ AlgorithmGLM.h:1904:12: required from here 1904 | double effective_number_of_parameter(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::VectorXd &weights, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:1923:52: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1923 | Eigen::MatrixXd XGbar = XA_new.transpose() * XA; | ~~~~~~~~~~~~~~~~~~~^~~~ AlgorithmGLM.h:1904:12: required from here 1904 | double effective_number_of_parameter(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::VectorXd &weights, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:55: required from ‘static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Transpose >; RhsT = Eigen::Matrix; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::Matrix]’ 469 | call_restricted_packet_assignment_no_alias(dst, s * lhs.lazyProduct(rhs), func); | ~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:1420:57: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1420 | Eigen::MatrixXd XGbar = -XG_new.transpose() * XG_new; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~ AlgorithmGLM.h:1387:10: required from here 1387 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:1420:57: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1420 | Eigen::MatrixXd XGbar = -XG_new.transpose() * XG_new; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~ AlgorithmGLM.h:1387:10: required from here 1387 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:690:54: required from ‘bool abessCox::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 690 | Eigen::MatrixXd temp = x.transpose() * h * x; | ~~~~~~~~~~~~~~~~~~^~~ AlgorithmGLM.h:630:10: required from here 630 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weight, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:690:54: required from ‘bool abessCox::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 690 | Eigen::MatrixXd temp = x.transpose() * h * x; | ~~~~~~~~~~~~~~~~~~^~~ AlgorithmGLM.h:630:10: required from here 630 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weight, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:697:19: required from ‘bool abessCox::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 697 | d = temp.ldlt().solve(x.transpose() * g - 2 * this->lambda_level * beta0); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:630:10: required from here 630 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weight, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:421:48: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 421 | Eigen::VectorXd XTy = X_full.adjoint() * y; | ~~~~~~~~~~~~~~~~~^~~ AlgorithmGLM.h:405:10: required from here 405 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmPCA.h:255:28: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ 255 | MatrixXd L = X * X.transpose(); | ~~^~~~~~~~~~~~~~~ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 153 | this->L = this->trun_svd(X); | ~~~~~~^~~~~~~~ AlgorithmPCA.h:144:21: required from here 144 | Eigen::VectorXi inital_screening(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmPCA.h:255:28: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ 255 | MatrixXd L = X * X.transpose(); | ~~^~~~~~~~~~~~~~~ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 153 | this->L = this->trun_svd(X); | ~~~~~~^~~~~~~~ AlgorithmPCA.h:144:21: required from here 144 | Eigen::VectorXi inital_screening(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Arnoldi.h:82:25: required from ‘void Spectra::Arnoldi::expand_basis(MapConstMat&, Index, Vector&, Scalar&, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; MapConstMat = Eigen::Map, 0, Eigen::Stride<0, 0> >; Index = long int; Vector = Eigen::Matrix]’ 82 | f.noalias() -= V * Vf; | ~~~~~~~~~~~~^~~~~~~~~ ../inst/include/Spectra/LinAlg/Lanczos.h:89:35: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 89 | this->expand_basis(V, 2 * i, m_fac_f, m_beta, op_counter); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 342 | m_fac.factorize_from(1, m_ncv, m_nmatop); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:127:21: required from ‘Scalar Spectra::ArnoldiOp::inner_product(const Arg1&, const Arg2&) const [with Arg1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix; Scalar = double; OpType = Spectra::DenseSymMatProd]’ 127 | return x.dot(y); | ~~~~~^~~ ../inst/include/Spectra/LinAlg/Lanczos.h:113:47: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 113 | m_fac_H(i, i) = m_op.inner_product(v, w); | ~~~~~~~~~~~~~~~~~~^~~~~~ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 342 | m_fac.factorize_from(1, m_ncv, m_nmatop); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; ExpressionType = Eigen::Ref, 0, Eigen::InnerStride<1> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:135:23: required from ‘void Spectra::ArnoldiOp::trans_product(const Arg1&, const Arg2&, Eigen::Ref >) const [with Arg1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix; Scalar = double; OpType = Spectra::DenseSymMatProd; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 135 | res.noalias() = x.transpose() * y; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Lanczos.h:123:31: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 123 | m_op.trans_product(Vs, m_fac_f, Vf.head(i1)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 342 | m_fac.factorize_from(1, m_ncv, m_nmatop); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, 1, true>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Arnoldi.h:302:33: required from ‘void Spectra::Arnoldi::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Matrix = Eigen::Matrix]’ 302 | Vs.col(i).noalias() = m_fac_V.leftCols(nnz) * q; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:123:25: required from ‘void Spectra::SymEigsBase::restart(Index, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int]’ 123 | m_fac.compress_V(Q); | ~~~~~~~~~~~~~~~~^~~ ../inst/include/Spectra/SymEigsBase.h:353:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 353 | restart(nev_adj, selection); | ^~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, 1, true>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Arnoldi.h:302:33: required from ‘void Spectra::Arnoldi::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Matrix = Eigen::Matrix]’ 302 | Vs.col(i).noalias() = m_fac_V.leftCols(nnz) * q; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:123:25: required from ‘void Spectra::SymEigsBase::restart(Index, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int]’ 123 | m_fac.compress_V(Q); | ~~~~~~~~~~~~~~~~^~~ ../inst/include/Spectra/SymEigsBase.h:353:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 353 | restart(nev_adj, selection); | ^~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:86:22: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:297:21: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:281:10: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 281 | m_matT *= scale; | ~~~~~~~^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 2, 1, true>, -1, 1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:525:40: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 525 | m_matT.col(n).tail(size-i) /= t; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:598:45: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 598 | m_matT.block(i, n-1, size-i, 2) /= t; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:495:44: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 495 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 122 | computeInPlace(); | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:470:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:520:35: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 519 | biggest_in_corner = m_lu.bottomRightCorner(rows-k, cols-k) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 520 | .unaryExpr(Scoring()) | ~~~~~~~~~~^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:561:85: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1889:48: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1889 | Eigen::MatrixXd invphiG = phiG.ldlt().solve( | ~~~~~~~~~^~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 359 | mat.coeffRef(k,k) -= (A10 * temp.head(k)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1889:48: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1889 | Eigen::MatrixXd invphiG = phiG.ldlt().solve( | ~~~~~~~~~^~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:265:23: required from ‘bool _abessGLM::_IRLS_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 265 | beta_full = XTX.ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1589:35: required from ‘bool abessGamma::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1589 | return this->_IRLS_fit(X, y, weights, beta, coef0, loss0, A, g_index, g_size); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1575:10: required from here 1575 | bool primary_model_fit(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:265:23: required from ‘bool _abessGLM::_IRLS_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 265 | beta_full = XTX.ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:80:26: required from ‘bool _abessGLM::primary_model_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 80 | return this->_IRLS_fit(X, y, weights, beta, coef0, loss0, A, g_index, g_size); | ~~~~~~^~~~~~~~~ AlgorithmGLM.h:71:18: required from here 71 | virtual bool primary_model_fit(T4 &X, T1 &y, Eigen::VectorXd &weights, T2 &beta, T3 &coef0, double loss0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:1923:52: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1923 | Eigen::MatrixXd XGbar = XA_new.transpose() * XA; | ~~~~~~~~~~~~~~~~~~~^~~~ AlgorithmGLM.h:1904:12: required from here 1904 | double effective_number_of_parameter(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::VectorXd &weights, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:1923:52: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1923 | Eigen::MatrixXd XGbar = XA_new.transpose() * XA; | ~~~~~~~~~~~~~~~~~~~^~~~ AlgorithmGLM.h:1904:12: required from here 1904 | double effective_number_of_parameter(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::VectorXd &weights, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:265:23: required from ‘bool _abessGLM::_IRLS_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 265 | beta_full = XTX.ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1589:35: required from ‘bool abessGamma::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1589 | return this->_IRLS_fit(X, y, weights, beta, coef0, loss0, A, g_index, g_size); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1575:10: required from here 1575 | bool primary_model_fit(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:1420:57: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1420 | Eigen::MatrixXd XGbar = -XG_new.transpose() * XG_new; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~ AlgorithmGLM.h:1387:10: required from here 1387 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ AlgorithmGLM.h:1422:39: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1422 | XGbar.diagonal() = Eigen::VectorXd(XG_new.transpose() * XG) + XGbar.diagonal(); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1387:10: required from here 1387 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:265:23: required from ‘bool _abessGLM::_IRLS_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 265 | beta_full = XTX.ldlt().solve(X_new.transpose() * Z); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:80:26: required from ‘bool _abessGLM::primary_model_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 80 | return this->_IRLS_fit(X, y, weights, beta, coef0, loss0, A, g_index, g_size); | ~~~~~~^~~~~~~~~ AlgorithmGLM.h:71:18: required from here 71 | virtual bool primary_model_fit(T4 &X, T1 &y, Eigen::VectorXd &weights, T2 &beta, T3 &coef0, double loss0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:690:54: required from ‘bool abessCox::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 690 | Eigen::MatrixXd temp = x.transpose() * h * x; | ~~~~~~~~~~~~~~~~~~^~~ AlgorithmGLM.h:630:10: required from here 630 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weight, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmPCA.h:255:28: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ 255 | MatrixXd L = X * X.transpose(); | ~~^~~~~~~~~~~~~~~ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 153 | this->L = this->trun_svd(X); | ~~~~~~^~~~~~~~ AlgorithmPCA.h:144:21: required from here 144 | Eigen::VectorXi inital_screening(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:142:22: required from ‘Scalar Spectra::ArnoldiOp::norm(const Arg&) const [with Arg = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; OpType = Spectra::DenseSymMatProd]’ 142 | return x.norm(); | ~~~~~~^~ ../inst/include/Spectra/LinAlg/Arnoldi.h:138:40: required from ‘void Spectra::Arnoldi::init(MapConstVec&, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; MapConstVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Index = long int]’ 138 | const Scalar v0norm = m_op.norm(v0); | ~~~~~~~~~^~~~ ../inst/include/Spectra/SymEigsBase.h:299:19: required from ‘void Spectra::SymEigsBase::init(const Scalar*) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Scalar = double]’ 299 | m_fac.init(v0, m_nmatop); | ~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:313:13: required from ‘void Spectra::SymEigsBase::init() [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp]’ 313 | init(init_resid.data()); | ~~~~^~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:55:17: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 55 | eig.init(); | ~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:142:22: required from ‘Scalar Spectra::ArnoldiOp::norm(const Arg&) const [with Arg = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; OpType = Spectra::DenseSymMatProd]’ 142 | return x.norm(); | ~~~~~~^~ ../inst/include/Spectra/LinAlg/Arnoldi.h:149:39: required from ‘void Spectra::Arnoldi::init(MapConstVec&, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; MapConstVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Index = long int]’ 149 | const Scalar vnorm = m_op.norm(v); | ~~~~~~~~~^~~ ../inst/include/Spectra/SymEigsBase.h:299:19: required from ‘void Spectra::SymEigsBase::init(const Scalar*) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Scalar = double]’ 299 | m_fac.init(v0, m_nmatop); | ~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:313:13: required from ‘void Spectra::SymEigsBase::init() [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp]’ 313 | init(init_resid.data()); | ~~~~^~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:55:17: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 55 | eig.init(); | ~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:135:23: required from ‘void Spectra::ArnoldiOp::trans_product(const Arg1&, const Arg2&, Eigen::Ref >) const [with Arg1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix; Scalar = double; OpType = Spectra::DenseSymMatProd; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 135 | res.noalias() = x.transpose() * y; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Arnoldi.h:81:31: required from ‘void Spectra::Arnoldi::expand_basis(MapConstMat&, Index, Vector&, Scalar&, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; MapConstMat = Eigen::Map, 0, Eigen::Stride<0, 0> >; Index = long int; Vector = Eigen::Matrix]’ 81 | m_op.trans_product(V, f, Vf); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/include/Spectra/LinAlg/Lanczos.h:89:35: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 89 | this->expand_basis(V, 2 * i, m_fac_f, m_beta, op_counter); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 342 | m_fac.factorize_from(1, m_ncv, m_nmatop); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Spectra/MatOp/DenseSymMatProd.h:85:21: required from ‘void Spectra::DenseSymMatProd::perform_op(const Scalar*, Scalar*) const [with Scalar_ = double; int Uplo = 1; int Flags = 0; Scalar = double]’ 85 | y.noalias() = m_mat.template selfadjointView() * x; | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:148:24: required from ‘void Spectra::ArnoldiOp::perform_op(const Scalar*, Scalar*) const [with Scalar = double; OpType = Spectra::DenseSymMatProd]’ 148 | m_op.perform_op(x_in, y_out); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Lanczos.h:102:28: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 102 | m_op.perform_op(v.data(), w.data()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 342 | m_fac.factorize_from(1, m_ncv, m_nmatop); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; ExpressionType = Eigen::Ref, 0, Eigen::InnerStride<1> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:135:23: required from ‘void Spectra::ArnoldiOp::trans_product(const Arg1&, const Arg2&, Eigen::Ref >) const [with Arg1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix; Scalar = double; OpType = Spectra::DenseSymMatProd; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 135 | res.noalias() = x.transpose() * y; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Lanczos.h:123:31: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 123 | m_op.trans_product(Vs, m_fac_f, Vf.head(i1)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 342 | m_fac.factorize_from(1, m_ncv, m_nmatop); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Lanczos.h:142:35: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 142 | m_fac_f.noalias() -= Vs * Vf.head(i1); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 342 | m_fac.factorize_from(1, m_ncv, m_nmatop); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Lanczos.h:142:35: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 142 | m_fac_f.noalias() -= Vs * Vf.head(i1); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 342 | m_fac.factorize_from(1, m_ncv, m_nmatop); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, true>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, true>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 182 | return coeff(index); | ~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 2, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 2, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 2, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 169 | this->col(0) -= tau * tmp; | ~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 131 | this->row(0) -= tau * tmp; | ~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 2, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:370:68: required from ‘typename MatrixType::Scalar Eigen::RealSchur<_MatrixType>::computeNormOfT() [with _MatrixType = Eigen::Matrix; typename MatrixType::Scalar = double]’ 370 | norm += m_matT.col(j).segment(0, (std::min)(size,j+2)).cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:309:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, 2, false>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 2, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, 2, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, 2, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, 2, false>, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 2, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, 2, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, 2, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, 2, false>, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, 2, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 2, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 2, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 2, false>, 1, -1, false> >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 2, false>, 1, -1, false> >, const Eigen::Block, 2, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 2, false>, 1, -1, false> >, const Eigen::Block, 2, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 2, false>, 1, -1, false> >, const Eigen::Block, 2, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 2, false>, 1, -1, false> >, const Eigen::Block, 2, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, 2, false>, 1, -1, false>; U = Eigen::Block, 2, 1, true>, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:495:28: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 495 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:495:44: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 495 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 122 | computeInPlace(); | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:470:10: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:520:35: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 519 | biggest_in_corner = m_lu.bottomRightCorner(rows-k, cols-k) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 520 | .unaryExpr(Scoring()) | ~~~~~~~~~~^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 4, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 4, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 4, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 4, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 4, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 4, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 4, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 4, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 4, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 4, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:561:85: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 2, false>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 2, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 2, 2, false>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Block, 2, 2, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:157:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 157 | matrix_sqrt_quasi_triangular_1x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>, 1, -1, false>; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:157:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 157 | matrix_sqrt_quasi_triangular_1x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1889:48: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1889 | Eigen::MatrixXd invphiG = phiG.ldlt().solve( | ~~~~~~~~~^~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1925 | Eigen::SelfAdjointEigenSolver adjoint_eigen_solver(XGbar); | ^~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1904:12: required from here 1904 | double effective_number_of_parameter(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::VectorXd &weights, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:133:56: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 133 | betabar.block(g_index(i), 0, g_size(i), M) = phiG * beta.block(g_index(i), 0, g_size(i), M); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:99:18: required from here 99 | virtual void sacrifice(T4 &X, T4 &XA, T1 &y, T2 &beta, T2 &beta_A, T3 &coef0, Eigen::VectorXi &A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:133:56: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 133 | betabar.block(g_index(i), 0, g_size(i), M) = phiG * beta.block(g_index(i), 0, g_size(i), M); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:99:18: required from here 99 | virtual void sacrifice(T4 &X, T4 &XA, T1 &y, T2 &beta, T2 &beta_A, T3 &coef0, Eigen::VectorXi &A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:133:56: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 133 | betabar.block(g_index(i), 0, g_size(i), M) = phiG * beta.block(g_index(i), 0, g_size(i), M); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:99:18: required from here 99 | virtual void sacrifice(T4 &X, T4 &XA, T1 &y, T2 &beta, T2 &beta_A, T3 &coef0, Eigen::VectorXi &A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:133:56: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 133 | betabar.block(g_index(i), 0, g_size(i), M) = phiG * beta.block(g_index(i), 0, g_size(i), M); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:99:18: required from here 99 | virtual void sacrifice(T4 &X, T4 &XA, T1 &y, T2 &beta, T2 &beta_A, T3 &coef0, Eigen::VectorXi &A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, -1, false>; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, -1, false>]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:133:56: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 133 | betabar.block(g_index(i), 0, g_size(i), M) = phiG * beta.block(g_index(i), 0, g_size(i), M); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:99:18: required from here 99 | virtual void sacrifice(T4 &X, T4 &XA, T1 &y, T2 &beta, T2 &beta_A, T3 &coef0, Eigen::VectorXi &A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:133:56: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 133 | betabar.block(g_index(i), 0, g_size(i), M) = phiG * beta.block(g_index(i), 0, g_size(i), M); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:99:18: required from here 99 | virtual void sacrifice(T4 &X, T4 &XA, T1 &y, T2 &beta, T2 &beta_A, T3 &coef0, Eigen::VectorXi &A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, -1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:133:56: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 133 | betabar.block(g_index(i), 0, g_size(i), M) = phiG * beta.block(g_index(i), 0, g_size(i), M); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:99:18: required from here 99 | virtual void sacrifice(T4 &X, T4 &XA, T1 &y, T2 &beta, T2 &beta_A, T3 &coef0, Eigen::VectorXi &A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:134:100: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 134 | dbar.block(g_index(i), 0, g_size(i), M) = invphiG * G.block(g_index(i), 0, g_size(i), M); | ^ AlgorithmGLM.h:99:18: required from here 99 | virtual void sacrifice(T4 &X, T4 &XA, T1 &y, T2 &beta, T2 &beta_A, T3 &coef0, Eigen::VectorXi &A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, -1, false>; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, -1, false>]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:134:100: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 134 | dbar.block(g_index(i), 0, g_size(i), M) = invphiG * G.block(g_index(i), 0, g_size(i), M); | ^ AlgorithmGLM.h:99:18: required from here 99 | virtual void sacrifice(T4 &X, T4 &XA, T1 &y, T2 &beta, T2 &beta_A, T3 &coef0, Eigen::VectorXi &A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:134:100: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 134 | dbar.block(g_index(i), 0, g_size(i), M) = invphiG * G.block(g_index(i), 0, g_size(i), M); | ^ AlgorithmGLM.h:99:18: required from here 99 | virtual void sacrifice(T4 &X, T4 &XA, T1 &y, T2 &beta, T2 &beta_A, T3 &coef0, Eigen::VectorXi &A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:422:53: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 422 | Eigen::VectorXd beta_full = XTX.ldlt().solve(XTy); | ~~~~~~~~~~~~~~~~^~~~~ AlgorithmGLM.h:405:10: required from here 405 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:1836:35: required from ‘double abessOrdinal::loss_function(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1836 | Eigen::VectorXd xbeta = X * beta.col(0); | ~~^~~~~~~~~~~~~ AlgorithmGLM.h:1829:12: required from here 1829 | double loss_function(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:1923:52: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1923 | Eigen::MatrixXd XGbar = XA_new.transpose() * XA; | ~~~~~~~~~~~~~~~~~~~^~~~ AlgorithmGLM.h:1904:12: required from here 1904 | double effective_number_of_parameter(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::VectorXd &weights, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:1923:52: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1923 | Eigen::MatrixXd XGbar = XA_new.transpose() * XA; | ~~~~~~~~~~~~~~~~~~~^~~~ AlgorithmGLM.h:1904:12: required from here 1904 | double effective_number_of_parameter(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::VectorXd &weights, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:1923:52: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1923 | Eigen::MatrixXd XGbar = XA_new.transpose() * XA; | ~~~~~~~~~~~~~~~~~~~^~~~ AlgorithmGLM.h:1904:12: required from here 1904 | double effective_number_of_parameter(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::VectorXd &weights, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:1420:57: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1420 | Eigen::MatrixXd XGbar = -XG_new.transpose() * XG_new; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~ AlgorithmGLM.h:1387:10: required from here 1387 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:1420:57: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1420 | Eigen::MatrixXd XGbar = -XG_new.transpose() * XG_new; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~ AlgorithmGLM.h:1387:10: required from here 1387 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:1420:57: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1420 | Eigen::MatrixXd XGbar = -XG_new.transpose() * XG_new; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~ AlgorithmGLM.h:1387:10: required from here 1387 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1275:67: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1275 | XTW.block(m1 * X.cols(), m2 * n, X.cols(), n) = X.transpose() * W.block(m1 * n, m2 * n, n, n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1173:10: required from here 1173 | bool primary_model_fit(T4 &x, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, Eigen::Block, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, Eigen::Block, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Block, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, true>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, true>, Eigen::Block, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1275:67: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1275 | XTW.block(m1 * X.cols(), m2 * n, X.cols(), n) = X.transpose() * W.block(m1 * n, m2 * n, n, n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1173:10: required from here 1173 | bool primary_model_fit(T4 &x, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:690:54: required from ‘bool abessCox::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 690 | Eigen::MatrixXd temp = x.transpose() * h * x; | ~~~~~~~~~~~~~~~~~~^~~ AlgorithmGLM.h:630:10: required from here 630 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weight, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:690:54: required from ‘bool abessCox::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 690 | Eigen::MatrixXd temp = x.transpose() * h * x; | ~~~~~~~~~~~~~~~~~~^~~ AlgorithmGLM.h:630:10: required from here 630 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weight, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:690:54: required from ‘bool abessCox::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 690 | Eigen::MatrixXd temp = x.transpose() * h * x; | ~~~~~~~~~~~~~~~~~~^~~ AlgorithmGLM.h:630:10: required from here 630 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weight, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:690:54: required from ‘bool abessCox::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 690 | Eigen::MatrixXd temp = x.transpose() * h * x; | ~~~~~~~~~~~~~~~~~~^~~ AlgorithmGLM.h:630:10: required from here 630 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weight, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:421:48: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 421 | Eigen::VectorXd XTy = X_full.adjoint() * y; | ~~~~~~~~~~~~~~~~~^~~ AlgorithmGLM.h:405:10: required from here 405 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:421:48: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 421 | Eigen::VectorXd XTy = X_full.adjoint() * y; | ~~~~~~~~~~~~~~~~~^~~ AlgorithmGLM.h:405:10: required from here 405 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmPCA.h:255:28: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ 255 | MatrixXd L = X * X.transpose(); | ~~^~~~~~~~~~~~~~~ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 153 | this->L = this->trun_svd(X); | ~~~~~~^~~~~~~~ AlgorithmPCA.h:144:21: required from here 144 | Eigen::VectorXi inital_screening(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmPCA.h:255:28: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ 255 | MatrixXd L = X * X.transpose(); | ~~^~~~~~~~~~~~~~~ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 153 | this->L = this->trun_svd(X); | ~~~~~~^~~~~~~~ AlgorithmPCA.h:144:21: required from here 144 | Eigen::VectorXi inital_screening(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmPCA.h:255:28: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ 255 | MatrixXd L = X * X.transpose(); | ~~^~~~~~~~~~~~~~~ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 153 | this->L = this->trun_svd(X); | ~~~~~~^~~~~~~~ AlgorithmPCA.h:144:21: required from here 144 | Eigen::VectorXi inital_screening(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 81 | gemm_pack_rhs pack_rhs; | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 141 | return func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmPCA.h:255:28: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ 255 | MatrixXd L = X * X.transpose(); | ~~^~~~~~~~~~~~~~~ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 153 | this->L = this->trun_svd(X); | ~~~~~~^~~~~~~~ AlgorithmPCA.h:144:21: required from here 144 | Eigen::VectorXi inital_screening(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Arnoldi.h:82:25: required from ‘void Spectra::Arnoldi::expand_basis(MapConstMat&, Index, Vector&, Scalar&, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; MapConstMat = Eigen::Map, 0, Eigen::Stride<0, 0> >; Index = long int; Vector = Eigen::Matrix]’ 82 | f.noalias() -= V * Vf; | ~~~~~~~~~~~~^~~~~~~~~ ../inst/include/Spectra/LinAlg/Lanczos.h:89:35: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 89 | this->expand_basis(V, 2 * i, m_fac_f, m_beta, op_counter); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 342 | m_fac.factorize_from(1, m_ncv, m_nmatop); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Arnoldi.h:82:25: required from ‘void Spectra::Arnoldi::expand_basis(MapConstMat&, Index, Vector&, Scalar&, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; MapConstMat = Eigen::Map, 0, Eigen::Stride<0, 0> >; Index = long int; Vector = Eigen::Matrix]’ 82 | f.noalias() -= V * Vf; | ~~~~~~~~~~~~^~~~~~~~~ ../inst/include/Spectra/LinAlg/Lanczos.h:89:35: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 89 | this->expand_basis(V, 2 * i, m_fac_f, m_beta, op_counter); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 342 | m_fac.factorize_from(1, m_ncv, m_nmatop); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; ExpressionType = Eigen::Ref, 0, Eigen::InnerStride<1> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:135:23: required from ‘void Spectra::ArnoldiOp::trans_product(const Arg1&, const Arg2&, Eigen::Ref >) const [with Arg1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix; Scalar = double; OpType = Spectra::DenseSymMatProd; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 135 | res.noalias() = x.transpose() * y; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Lanczos.h:123:31: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 123 | m_op.trans_product(Vs, m_fac_f, Vf.head(i1)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 342 | m_fac.factorize_from(1, m_ncv, m_nmatop); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; ExpressionType = Eigen::Ref, 0, Eigen::InnerStride<1> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:135:23: required from ‘void Spectra::ArnoldiOp::trans_product(const Arg1&, const Arg2&, Eigen::Ref >) const [with Arg1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix; Scalar = double; OpType = Spectra::DenseSymMatProd; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 135 | res.noalias() = x.transpose() * y; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Lanczos.h:123:31: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 123 | m_op.trans_product(Vs, m_fac_f, Vf.head(i1)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 342 | m_fac.factorize_from(1, m_ncv, m_nmatop); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, true>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, true>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, 1, true>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Arnoldi.h:302:33: required from ‘void Spectra::Arnoldi::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Matrix = Eigen::Matrix]’ 302 | Vs.col(i).noalias() = m_fac_V.leftCols(nnz) * q; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:123:25: required from ‘void Spectra::SymEigsBase::restart(Index, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int]’ 123 | m_fac.compress_V(Q); | ~~~~~~~~~~~~~~~~^~~ ../inst/include/Spectra/SymEigsBase.h:353:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 353 | restart(nev_adj, selection); | ^~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true>, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, 1, true>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Arnoldi.h:302:33: required from ‘void Spectra::Arnoldi::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Matrix = Eigen::Matrix]’ 302 | Vs.col(i).noalias() = m_fac_V.leftCols(nnz) * q; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:123:25: required from ‘void Spectra::SymEigsBase::restart(Index, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int]’ 123 | m_fac.compress_V(Q); | ~~~~~~~~~~~~~~~~^~~ ../inst/include/Spectra/SymEigsBase.h:353:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 353 | restart(nev_adj, selection); | ^~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose, -1, 1, false> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 2, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 2, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 2, 2, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 2, 2, false>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 2, 2, false>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7: required from ‘Eigen::MapBase::ScalarWithConstIfNotLvalue& Eigen::MapBase::coeffRef(Eigen::Index) [with Derived = Eigen::Block, 2, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long int]’ 15 | EIGEN_STATIC_ASSERT((int(internal::evaluator::Flags) & LinearAccessBit) || Derived::IsVectorAtCompileTime, \ | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:306:25: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 306 | matA.col(i).coeffRef(i+1) = beta; | ~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 2, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 2, 1, true>, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, 2, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:314:35: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true>, 2, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, -1, true>, 2, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, -1, true>, 2, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true>, 2, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, -1, true>, 2, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, -1, true>, 2, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, 2, 1, true>, -1>; Derived = Eigen::Block, 2, -1, true>; Scalar = double]’ 169 | this->col(0) -= tau * tmp; | ~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 2, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 2, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 2, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 2, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 2, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 2, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 4, 1, true>, -1, 1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:559:34: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 559 | m_lu.col(k).tail(rows-k-1) /= m_lu.coeff(k,k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 2, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 2, 1, false>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 2, 1, false>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:769:22: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 2, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 2, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 2, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 2, false>, Eigen::Block, -1, 1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 2, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 2, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:776:59: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 1, 2, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 1, 2, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 1, 2, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, 2, false>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, 2, false>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 155 | matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 2, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:769:22: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 155 | matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false> >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false> >, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false> >, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false> >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 155 | matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1891:102: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1891 | betabar.segment(g_indeX(i), g_size(i)) = phiG * beta.col(0).segment(g_indeX(i), g_size(i)); | ^ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1925 | Eigen::SelfAdjointEigenSolver adjoint_eigen_solver(XGbar); | ^~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1904:12: required from here 1904 | double effective_number_of_parameter(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::VectorXd &weights, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1925 | Eigen::SelfAdjointEigenSolver adjoint_eigen_solver(XGbar); | ^~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1904:12: required from here 1904 | double effective_number_of_parameter(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::VectorXd &weights, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:133:56: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 133 | betabar.block(g_index(i), 0, g_size(i), M) = phiG * beta.block(g_index(i), 0, g_size(i), M); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:99:18: required from here 99 | virtual void sacrifice(T4 &X, T4 &XA, T1 &y, T2 &beta, T2 &beta_A, T3 &coef0, Eigen::VectorXi &A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:133:56: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 133 | betabar.block(g_index(i), 0, g_size(i), M) = phiG * beta.block(g_index(i), 0, g_size(i), M); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:99:18: required from here 99 | virtual void sacrifice(T4 &X, T4 &XA, T1 &y, T2 &beta, T2 &beta_A, T3 &coef0, Eigen::VectorXi &A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:133:56: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 133 | betabar.block(g_index(i), 0, g_size(i), M) = phiG * beta.block(g_index(i), 0, g_size(i), M); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:99:18: required from here 99 | virtual void sacrifice(T4 &X, T4 &XA, T1 &y, T2 &beta, T2 &beta_A, T3 &coef0, Eigen::VectorXi &A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:134:100: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 134 | dbar.block(g_index(i), 0, g_size(i), M) = invphiG * G.block(g_index(i), 0, g_size(i), M); | ^ AlgorithmGLM.h:99:18: required from here 99 | virtual void sacrifice(T4 &X, T4 &XA, T1 &y, T2 &beta, T2 &beta_A, T3 &coef0, Eigen::VectorXi &A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:134:100: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 134 | dbar.block(g_index(i), 0, g_size(i), M) = invphiG * G.block(g_index(i), 0, g_size(i), M); | ^ AlgorithmGLM.h:99:18: required from here 99 | virtual void sacrifice(T4 &X, T4 &XA, T1 &y, T2 &beta, T2 &beta_A, T3 &coef0, Eigen::VectorXi &A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:690:54: required from ‘bool abessCox::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 690 | Eigen::MatrixXd temp = x.transpose() * h * x; | ~~~~~~~~~~~~~~~~~~^~~ AlgorithmGLM.h:630:10: required from here 630 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weight, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:35: required from ‘static void Eigen::internal::sparse_time_dense_product_impl::processRow(const LhsEval&, const DenseRhsType&, Res&, const typename Eigen::internal::remove_all::type::Scalar&, Eigen::Index) [with SparseLhsType = Eigen::Transpose >; DenseRhsType = Eigen::Transpose >; DenseResType = Eigen::Transpose >; LhsEval = Eigen::internal::evaluator > >; Res = Eigen::Transpose >; typename Eigen::internal::remove_all::type::Scalar = double; Eigen::Index = long int]’ 145 | res_i += (alpha*it.value()) * rhs.row(it.index()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:131:19: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:690:54: required from ‘bool abessCox::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 690 | Eigen::MatrixXd temp = x.transpose() * h * x; | ~~~~~~~~~~~~~~~~~~^~~ AlgorithmGLM.h:630:10: required from here 630 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weight, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:422:53: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 422 | Eigen::VectorXd beta_full = XTX.ldlt().solve(XTy); | ~~~~~~~~~~~~~~~~^~~~~ AlgorithmGLM.h:405:10: required from here 405 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:422:53: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 422 | Eigen::VectorXd beta_full = XTX.ldlt().solve(XTy); | ~~~~~~~~~~~~~~~~^~~~~ AlgorithmGLM.h:405:10: required from here 405 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 5; bool Conjugate = false]’ 125 | Map >(rhs+s,r) -= rhs[i] * cjLhs.col(i).segment(s,r); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:422:53: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 422 | Eigen::VectorXd beta_full = XTX.ldlt().solve(XTy); | ~~~~~~~~~~~~~~~~^~~~~ AlgorithmGLM.h:405:10: required from here 405 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ 94 | template class Map | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:422:53: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 422 | Eigen::VectorXd beta_full = XTX.ldlt().solve(XTy); | ~~~~~~~~~~~~~~~~^~~~~ AlgorithmGLM.h:405:10: required from here 405 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:422:53: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 422 | Eigen::VectorXd beta_full = XTX.ldlt().solve(XTy); | ~~~~~~~~~~~~~~~~^~~~~ AlgorithmGLM.h:405:10: required from here 405 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:422:53: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 422 | Eigen::VectorXd beta_full = XTX.ldlt().solve(XTy); | ~~~~~~~~~~~~~~~~^~~~~ AlgorithmGLM.h:405:10: required from here 405 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:422:53: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 422 | Eigen::VectorXd beta_full = XTX.ldlt().solve(XTy); | ~~~~~~~~~~~~~~~~^~~~~ AlgorithmGLM.h:405:10: required from here 405 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’ 78 | rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map >(rhs+s,k))).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:422:53: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 422 | Eigen::VectorXd beta_full = XTX.ldlt().solve(XTy); | ~~~~~~~~~~~~~~~~^~~~~ AlgorithmGLM.h:405:10: required from here 405 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:1623:35: required from ‘bool abessOrdinal::gradient(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXd&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1623 | Eigen::VectorXd xbeta = X * coef.tail(p); | ~~^~~~~~~~~~~~~~ AlgorithmGLM.h:1872:9: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1872 | gradient(X, y, weights, beta, coef0, d); | ^~~~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 115 | pack_lhs(blockA+info[tid].lhs_start*actual_kc, lhs.getSubMapper(info[tid].lhs_start,k), actual_kc, info[tid].lhs_length); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose >, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 141 | return func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:1923:52: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1923 | Eigen::MatrixXd XGbar = XA_new.transpose() * XA; | ~~~~~~~~~~~~~~~~~~~^~~~ AlgorithmGLM.h:1904:12: required from here 1904 | double effective_number_of_parameter(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::VectorXd &weights, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1275:67: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1275 | XTW.block(m1 * X.cols(), m2 * n, X.cols(), n) = X.transpose() * W.block(m1 * n, m2 * n, n, n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1173:10: required from here 1173 | bool primary_model_fit(T4 &x, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, Eigen::Matrix >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, Eigen::Matrix >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, Eigen::Matrix >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block, Eigen::Matrix >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block, Eigen::Matrix >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block, Eigen::Matrix >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:957:29: required from ‘void abessMLm::inital_setting(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 957 | this->XTone = X.transpose() * Eigen::MatrixXd::Ones(n, y.cols()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:948:10: required from here 948 | void inital_setting(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::VectorXi &g_index, | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, -1, 1, true>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:957:29: required from ‘void abessMLm::inital_setting(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 957 | this->XTone = X.transpose() * Eigen::MatrixXd::Ones(n, y.cols()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:948:10: required from here 948 | void inital_setting(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::VectorXi &g_index, | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl >, const Eigen::Block, Eigen::Matrix >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseNullaryOp, Eigen::Matrix >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:957:29: required from ‘void abessMLm::inital_setting(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 957 | this->XTone = X.transpose() * Eigen::MatrixXd::Ones(n, y.cols()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:948:10: required from here 948 | void inital_setting(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::VectorXi &g_index, | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, true>, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, true>, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:957:29: required from ‘void abessMLm::inital_setting(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 957 | this->XTone = X.transpose() * Eigen::MatrixXd::Ones(n, y.cols()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:948:10: required from here 948 | void inital_setting(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::VectorXi &g_index, | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmPCA.h:252:49: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ 252 | Y = X * vec_r * vec_r.transpose(); | ^ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 153 | this->L = this->trun_svd(X); | ~~~~~~^~~~~~~~ AlgorithmPCA.h:144:21: required from here 144 | Eigen::VectorXi inital_screening(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmPCA.h:252:49: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ 252 | Y = X * vec_r * vec_r.transpose(); | ^ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 153 | this->L = this->trun_svd(X); | ~~~~~~^~~~~~~~ AlgorithmPCA.h:144:21: required from here 144 | Eigen::VectorXi inital_screening(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmPCA.h:252:49: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ 252 | Y = X * vec_r * vec_r.transpose(); | ^ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 153 | this->L = this->trun_svd(X); | ~~~~~~^~~~~~~~ AlgorithmPCA.h:144:21: required from here 144 | Eigen::VectorXi inital_screening(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmPCA.h:252:49: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ 252 | Y = X * vec_r * vec_r.transpose(); | ^ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 153 | this->L = this->trun_svd(X); | ~~~~~~^~~~~~~~ AlgorithmPCA.h:144:21: required from here 144 | Eigen::VectorXi inital_screening(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmPCA.h:252:49: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ 252 | Y = X * vec_r * vec_r.transpose(); | ^ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 153 | this->L = this->trun_svd(X); | ~~~~~~^~~~~~~~ AlgorithmPCA.h:144:21: required from here 144 | Eigen::VectorXi inital_screening(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmPCA.h:273:49: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ 273 | Y = vec_l * vec_l.transpose() * X; | ^ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 153 | this->L = this->trun_svd(X); | ~~~~~~^~~~~~~~ AlgorithmPCA.h:144:21: required from here 144 | Eigen::VectorXi inital_screening(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmPCA.h:273:49: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ 273 | Y = vec_l * vec_l.transpose() * X; | ^ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 153 | this->L = this->trun_svd(X); | ~~~~~~^~~~~~~~ AlgorithmPCA.h:144:21: required from here 144 | Eigen::VectorXi inital_screening(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmPCA.h:273:49: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ 273 | Y = vec_l * vec_l.transpose() * X; | ^ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 153 | this->L = this->trun_svd(X); | ~~~~~~^~~~~~~~ AlgorithmPCA.h:144:21: required from here 144 | Eigen::VectorXi inital_screening(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmPCA.h:273:49: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ 273 | Y = vec_l * vec_l.transpose() * X; | ^ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 153 | this->L = this->trun_svd(X); | ~~~~~~^~~~~~~~ AlgorithmPCA.h:144:21: required from here 144 | Eigen::VectorXi inital_screening(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:135:23: required from ‘void Spectra::ArnoldiOp::trans_product(const Arg1&, const Arg2&, Eigen::Ref >) const [with Arg1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix; Scalar = double; OpType = Spectra::DenseSymMatProd; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 135 | res.noalias() = x.transpose() * y; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Arnoldi.h:81:31: required from ‘void Spectra::Arnoldi::expand_basis(MapConstMat&, Index, Vector&, Scalar&, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; MapConstMat = Eigen::Map, 0, Eigen::Stride<0, 0> >; Index = long int; Vector = Eigen::Matrix]’ 81 | m_op.trans_product(V, f, Vf); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/include/Spectra/LinAlg/Lanczos.h:89:35: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 89 | this->expand_basis(V, 2 * i, m_fac_f, m_beta, op_counter); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 342 | m_fac.factorize_from(1, m_ncv, m_nmatop); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:135:23: required from ‘void Spectra::ArnoldiOp::trans_product(const Arg1&, const Arg2&, Eigen::Ref >) const [with Arg1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix; Scalar = double; OpType = Spectra::DenseSymMatProd; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 135 | res.noalias() = x.transpose() * y; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Arnoldi.h:81:31: required from ‘void Spectra::Arnoldi::expand_basis(MapConstMat&, Index, Vector&, Scalar&, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; MapConstMat = Eigen::Map, 0, Eigen::Stride<0, 0> >; Index = long int; Vector = Eigen::Matrix]’ 81 | m_op.trans_product(V, f, Vf); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/include/Spectra/LinAlg/Lanczos.h:89:35: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 89 | this->expand_basis(V, 2 * i, m_fac_f, m_beta, op_counter); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 342 | m_fac.factorize_from(1, m_ncv, m_nmatop); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:337: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = const Eigen::Ref, 0, Eigen::OuterStride<> >; int LhsMode = 17; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ 227 | internal::selfadjoint_matrix_vector_product::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::SelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 7; Scalar = double]’ 805 | selfadjoint_product_impl::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::SelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::SelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::SelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Spectra/MatOp/DenseSymMatProd.h:85:21: required from ‘void Spectra::DenseSymMatProd::perform_op(const Scalar*, Scalar*) const [with Scalar_ = double; int Uplo = 1; int Flags = 0; Scalar = double]’ 85 | y.noalias() = m_mat.template selfadjointView() * x; | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:148:24: required from ‘void Spectra::ArnoldiOp::perform_op(const Scalar*, Scalar*) const [with Scalar = double; OpType = Spectra::DenseSymMatProd]’ 148 | m_op.perform_op(x_in, y_out); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Lanczos.h:102:28: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 102 | m_op.perform_op(v.data(), w.data()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 342 | m_fac.factorize_from(1, m_ncv, m_nmatop); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 62 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 63 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Lanczos.h:142:35: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 142 | m_fac_f.noalias() -= Vs * Vf.head(i1); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 342 | m_fac.factorize_from(1, m_ncv, m_nmatop); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Lanczos.h:142:35: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 142 | m_fac_f.noalias() -= Vs * Vf.head(i1); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 342 | m_fac.factorize_from(1, m_ncv, m_nmatop); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, true>, -1, 1, true>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, true>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, true>, -1, 1, true>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, true>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, true>, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 2, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 2, 1, false>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 2, 1, false>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true>, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, 2, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, 2, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 93 | essential = tail / (c0 - beta); | ~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, 2, -1, true>; Scalar = double]’ 20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:161:11: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, 2, 1, true>, -1>; Derived = Eigen::Block, 2, -1, true>; Scalar = double]’ 161 | *this *= Scalar(1)-tau; | ~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 2, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 2, 1, true>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 2, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 2, -1, true>, 1, -1, false>; VectorY = Eigen::Block, 2, -1, true>, 1, -1, false>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:299:40: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Block, 2, -1, true>; Eigen::Index = long int]’ 299 | internal::apply_rotation_in_the_plane(x, y, j); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:417:47: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix; Index = long int; Scalar = double]’ 417 | m_matT.rightCols(size-iu+1).applyOnTheLeft(iu-1, iu, rot.adjoint()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, -1, true>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 2, -1, true>, 1, -1, false>; VectorY = Eigen::Block, 2, -1, true>, 1, -1, false>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:299:40: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Block, 2, -1, true>; Eigen::Index = long int]’ 299 | internal::apply_rotation_in_the_plane(x, y, j); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:417:47: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix; Index = long int; Scalar = double]’ 417 | m_matT.rightCols(size-iu+1).applyOnTheLeft(iu-1, iu, rot.adjoint()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, 2, false>, -1, 1, true> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, -1, 2, false>, -1, 1, true>; VectorY = Eigen::Block, -1, 2, false>, -1, 1, true>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Block, -1, 2, false>; Eigen::Index = long int]’ 315 | internal::apply_rotation_in_the_plane(x, y, j.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:418:41: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix; Index = long int; Scalar = double]’ 418 | m_matT.topRows(iu+1).applyOnTheRight(iu-1, iu, rot); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 2, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, -1, 2, false>, -1, 1, true>; VectorY = Eigen::Block, -1, 2, false>, -1, 1, true>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Block, -1, 2, false>; Eigen::Index = long int]’ 315 | internal::apply_rotation_in_the_plane(x, y, j.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:418:41: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix; Index = long int; Scalar = double]’ 418 | m_matT.topRows(iu+1).applyOnTheRight(iu-1, iu, rot); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator >, const Eigen::Block, 2, 1, true> >, Eigen::internal::IndexBased, std::complex >’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, const Eigen::Block, 2, 1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 2>, 2, 1, true>; SrcXprType = Eigen::CwiseUnaryOp >, const Eigen::Block, 2, 1, true> >; Functor = assign_op, std::complex >]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 2>, 2, 1, true>; SrcXprType = Eigen::CwiseUnaryOp >, const Eigen::Block, 2, 1, true> >; Functor = Eigen::internal::assign_op, std::complex >; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, -1, -1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, -1, -1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false> >]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:348:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1889:48: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1889 | Eigen::MatrixXd invphiG = phiG.ldlt().solve( | ~~~~~~~~~^~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1889:48: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1889 | Eigen::MatrixXd invphiG = phiG.ldlt().solve( | ~~~~~~~~~^~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 155 | pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:581:60: required from ‘void Eigen::LDLT::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::CwiseNullaryOp, Eigen::Matrix >; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 581 | matrixL().template conjugateIf().solveInPlace(dst); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:569:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:1889:56: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1889 | Eigen::MatrixXd invphiG = phiG.ldlt().solve( | ~~~~~~~~~~~~~~~~~^ 1890 | Eigen::MatrixXd::Identity(g_size(i), g_size(i))); // this is a way to inverse a matriX. | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 78 | RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm(); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1925 | Eigen::SelfAdjointEigenSolver adjoint_eigen_solver(XGbar); | ^~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1904:12: required from here 1904 | double effective_number_of_parameter(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::VectorXd &weights, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1925 | Eigen::SelfAdjointEigenSolver adjoint_eigen_solver(XGbar); | ^~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1904:12: required from here 1904 | double effective_number_of_parameter(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::VectorXd &weights, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:133:56: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 133 | betabar.block(g_index(i), 0, g_size(i), M) = phiG * beta.block(g_index(i), 0, g_size(i), M); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:99:18: required from here 99 | virtual void sacrifice(T4 &X, T4 &XA, T1 &y, T2 &beta, T2 &beta_A, T3 &coef0, Eigen::VectorXi &A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:133:56: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 133 | betabar.block(g_index(i), 0, g_size(i), M) = phiG * beta.block(g_index(i), 0, g_size(i), M); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:99:18: required from here 99 | virtual void sacrifice(T4 &X, T4 &XA, T1 &y, T2 &beta, T2 &beta_A, T3 &coef0, Eigen::VectorXi &A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:1836:35: required from ‘double abessOrdinal::loss_function(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1836 | Eigen::VectorXd xbeta = X * beta.col(0); | ~~^~~~~~~~~~~~~ AlgorithmGLM.h:1829:12: required from here 1829 | double loss_function(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:1923:52: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1923 | Eigen::MatrixXd XGbar = XA_new.transpose() * XA; | ~~~~~~~~~~~~~~~~~~~^~~~ AlgorithmGLM.h:1904:12: required from here 1904 | double effective_number_of_parameter(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::VectorXd &weights, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:1420:57: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1420 | Eigen::MatrixXd XGbar = -XG_new.transpose() * XG_new; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~ AlgorithmGLM.h:1387:10: required from here 1387 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:957:29: required from ‘void abessMLm::inital_setting(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 957 | this->XTone = X.transpose() * Eigen::MatrixXd::Ones(n, y.cols()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:948:10: required from here 948 | void inital_setting(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::VectorXi &g_index, | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, -1, 1, true>, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, -1, 1, true>, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, -1, 1, true>, -1, 1, true>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:957:29: required from ‘void abessMLm::inital_setting(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 957 | this->XTone = X.transpose() * Eigen::MatrixXd::Ones(n, y.cols()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:948:10: required from here 948 | void inital_setting(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::VectorXi &g_index, | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:690:54: required from ‘bool abessCox::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 690 | Eigen::MatrixXd temp = x.transpose() * h * x; | ~~~~~~~~~~~~~~~~~~^~~ AlgorithmGLM.h:630:10: required from here 630 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weight, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:421:48: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 421 | Eigen::VectorXd XTy = X_full.adjoint() * y; | ~~~~~~~~~~~~~~~~~^~~ AlgorithmGLM.h:405:10: required from here 405 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmPCA.h:252:49: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ 252 | Y = X * vec_r * vec_r.transpose(); | ^ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 153 | this->L = this->trun_svd(X); | ~~~~~~^~~~~~~~ AlgorithmPCA.h:144:21: required from here 144 | Eigen::VectorXi inital_screening(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmPCA.h:252:49: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ 252 | Y = X * vec_r * vec_r.transpose(); | ^ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 153 | this->L = this->trun_svd(X); | ~~~~~~^~~~~~~~ AlgorithmPCA.h:144:21: required from here 144 | Eigen::VectorXi inital_screening(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmPCA.h:252:49: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ 252 | Y = X * vec_r * vec_r.transpose(); | ^ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 153 | this->L = this->trun_svd(X); | ~~~~~~^~~~~~~~ AlgorithmPCA.h:144:21: required from here 144 | Eigen::VectorXi inital_screening(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmPCA.h:255:28: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ 255 | MatrixXd L = X * X.transpose(); | ~~^~~~~~~~~~~~~~~ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 153 | this->L = this->trun_svd(X); | ~~~~~~^~~~~~~~ AlgorithmPCA.h:144:21: required from here 144 | Eigen::VectorXi inital_screening(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmPCA.h:273:49: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ 273 | Y = vec_l * vec_l.transpose() * X; | ^ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 153 | this->L = this->trun_svd(X); | ~~~~~~^~~~~~~~ AlgorithmPCA.h:144:21: required from here 144 | Eigen::VectorXi inital_screening(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmPCA.h:273:49: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ 273 | Y = vec_l * vec_l.transpose() * X; | ^ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 153 | this->L = this->trun_svd(X); | ~~~~~~^~~~~~~~ AlgorithmPCA.h:144:21: required from here 144 | Eigen::VectorXi inital_screening(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Arnoldi.h:82:25: required from ‘void Spectra::Arnoldi::expand_basis(MapConstMat&, Index, Vector&, Scalar&, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; MapConstMat = Eigen::Map, 0, Eigen::Stride<0, 0> >; Index = long int; Vector = Eigen::Matrix]’ 82 | f.noalias() -= V * Vf; | ~~~~~~~~~~~~^~~~~~~~~ ../inst/include/Spectra/LinAlg/Lanczos.h:89:35: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 89 | this->expand_basis(V, 2 * i, m_fac_f, m_beta, op_counter); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 342 | m_fac.factorize_from(1, m_ncv, m_nmatop); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:166: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68: required from ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’ 89 | Index alignedStart = (starti) + internal::first_default_aligned(&res[starti], endi-starti); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = const Eigen::Ref, 0, Eigen::OuterStride<> >; int LhsMode = 17; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ 227 | internal::selfadjoint_matrix_vector_product::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::SelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 7; Scalar = double]’ 805 | selfadjoint_product_impl::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::SelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::SelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Spectra/MatOp/DenseSymMatProd.h:85:21: required from ‘void Spectra::DenseSymMatProd::perform_op(const Scalar*, Scalar*) const [with Scalar_ = double; int Uplo = 1; int Flags = 0; Scalar = double]’ 85 | y.noalias() = m_mat.template selfadjointView() * x; | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:148:24: required from ‘void Spectra::ArnoldiOp::perform_op(const Scalar*, Scalar*) const [with Scalar = double; OpType = Spectra::DenseSymMatProd]’ 148 | m_op.perform_op(x_in, y_out); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Lanczos.h:102:28: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 102 | m_op.perform_op(v.data(), w.data()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 342 | m_fac.factorize_from(1, m_ncv, m_nmatop); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; ExpressionType = Eigen::Ref, 0, Eigen::InnerStride<1> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:135:23: required from ‘void Spectra::ArnoldiOp::trans_product(const Arg1&, const Arg2&, Eigen::Ref >) const [with Arg1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix; Scalar = double; OpType = Spectra::DenseSymMatProd; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 135 | res.noalias() = x.transpose() * y; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Lanczos.h:123:31: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 123 | m_op.trans_product(Vs, m_fac_f, Vf.head(i1)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 342 | m_fac.factorize_from(1, m_ncv, m_nmatop); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, 1, true>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Arnoldi.h:302:33: required from ‘void Spectra::Arnoldi::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Matrix = Eigen::Matrix]’ 302 | Vs.col(i).noalias() = m_fac_V.leftCols(nnz) * q; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:123:25: required from ‘void Spectra::SymEigsBase::restart(Index, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int]’ 123 | m_fac.compress_V(Q); | ~~~~~~~~~~~~~~~~^~~ ../inst/include/Spectra/SymEigsBase.h:353:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 353 | restart(nev_adj, selection); | ^~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, 1, true>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Arnoldi.h:302:33: required from ‘void Spectra::Arnoldi::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Matrix = Eigen::Matrix]’ 302 | Vs.col(i).noalias() = m_fac_V.leftCols(nnz) * q; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:123:25: required from ‘void Spectra::SymEigsBase::restart(Index, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int]’ 123 | m_fac.compress_V(Q); | ~~~~~~~~~~~~~~~~^~~ ../inst/include/Spectra/SymEigsBase.h:353:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 353 | restart(nev_adj, selection); | ^~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true>, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 3, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 3, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 3, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Block, 3, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 3, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, -1, -1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, -1, -1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false> >]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:348:14: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:769:22: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 4, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 4, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 4, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 4, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 4, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 4, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 4, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 4, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 4, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 4, false>, Eigen::Block, -1, 1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 4, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 4, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:776:59: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1891:102: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1891 | betabar.segment(g_indeX(i), g_size(i)) = phiG * beta.col(0).segment(g_indeX(i), g_size(i)); | ^ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1925 | Eigen::SelfAdjointEigenSolver adjoint_eigen_solver(XGbar); | ^~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1904:12: required from here 1904 | double effective_number_of_parameter(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::VectorXd &weights, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:133:56: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 133 | betabar.block(g_index(i), 0, g_size(i), M) = phiG * beta.block(g_index(i), 0, g_size(i), M); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:99:18: required from here 99 | virtual void sacrifice(T4 &X, T4 &XA, T1 &y, T2 &beta, T2 &beta_A, T3 &coef0, Eigen::VectorXi &A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:133:56: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 133 | betabar.block(g_index(i), 0, g_size(i), M) = phiG * beta.block(g_index(i), 0, g_size(i), M); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:99:18: required from here 99 | virtual void sacrifice(T4 &X, T4 &XA, T1 &y, T2 &beta, T2 &beta_A, T3 &coef0, Eigen::VectorXi &A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:133:56: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 133 | betabar.block(g_index(i), 0, g_size(i), M) = phiG * beta.block(g_index(i), 0, g_size(i), M); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:99:18: required from here 99 | virtual void sacrifice(T4 &X, T4 &XA, T1 &y, T2 &beta, T2 &beta_A, T3 &coef0, Eigen::VectorXi &A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:134:100: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 134 | dbar.block(g_index(i), 0, g_size(i), M) = invphiG * G.block(g_index(i), 0, g_size(i), M); | ^ AlgorithmGLM.h:99:18: required from here 99 | virtual void sacrifice(T4 &X, T4 &XA, T1 &y, T2 &beta, T2 &beta_A, T3 &coef0, Eigen::VectorXi &A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:134:100: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 134 | dbar.block(g_index(i), 0, g_size(i), M) = invphiG * G.block(g_index(i), 0, g_size(i), M); | ^ AlgorithmGLM.h:99:18: required from here 99 | virtual void sacrifice(T4 &X, T4 &XA, T1 &y, T2 &beta, T2 &beta_A, T3 &coef0, Eigen::VectorXi &A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:422:53: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 422 | Eigen::VectorXd beta_full = XTX.ldlt().solve(XTy); | ~~~~~~~~~~~~~~~~^~~~~ AlgorithmGLM.h:405:10: required from here 405 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:422:53: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 422 | Eigen::VectorXd beta_full = XTX.ldlt().solve(XTy); | ~~~~~~~~~~~~~~~~^~~~~ AlgorithmGLM.h:405:10: required from here 405 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:1923:52: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1923 | Eigen::MatrixXd XGbar = XA_new.transpose() * XA; | ~~~~~~~~~~~~~~~~~~~^~~~ AlgorithmGLM.h:1904:12: required from here 1904 | double effective_number_of_parameter(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::VectorXd &weights, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1275:67: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1275 | XTW.block(m1 * X.cols(), m2 * n, X.cols(), n) = X.transpose() * W.block(m1 * n, m2 * n, n, n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1173:10: required from here 1173 | bool primary_model_fit(T4 &x, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1275:67: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1275 | XTW.block(m1 * X.cols(), m2 * n, X.cols(), n) = X.transpose() * W.block(m1 * n, m2 * n, n, n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1173:10: required from here 1173 | bool primary_model_fit(T4 &x, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix > >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, 1, -1, true>; Rhs = Eigen::CwiseNullaryOp, Eigen::Matrix >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]’ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:957:29: required from ‘void abessMLm::inital_setting(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 957 | this->XTone = X.transpose() * Eigen::MatrixXd::Ones(n, y.cols()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:948:10: required from here 948 | void inital_setting(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::VectorXi &g_index, | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmPCA.h:252:49: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ 252 | Y = X * vec_r * vec_r.transpose(); | ^ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 153 | this->L = this->trun_svd(X); | ~~~~~~^~~~~~~~ AlgorithmPCA.h:144:21: required from here 144 | Eigen::VectorXi inital_screening(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmPCA.h:255:28: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ 255 | MatrixXd L = X * X.transpose(); | ~~^~~~~~~~~~~~~~~ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 153 | this->L = this->trun_svd(X); | ~~~~~~^~~~~~~~ AlgorithmPCA.h:144:21: required from here 144 | Eigen::VectorXi inital_screening(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:135:23: required from ‘void Spectra::ArnoldiOp::trans_product(const Arg1&, const Arg2&, Eigen::Ref >) const [with Arg1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix; Scalar = double; OpType = Spectra::DenseSymMatProd; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 135 | res.noalias() = x.transpose() * y; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Arnoldi.h:81:31: required from ‘void Spectra::Arnoldi::expand_basis(MapConstMat&, Index, Vector&, Scalar&, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; MapConstMat = Eigen::Map, 0, Eigen::Stride<0, 0> >; Index = long int; Vector = Eigen::Matrix]’ 81 | m_op.trans_product(V, f, Vf); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/include/Spectra/LinAlg/Lanczos.h:89:35: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 89 | this->expand_basis(V, 2 * i, m_fac_f, m_beta, op_counter); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 342 | m_fac.factorize_from(1, m_ncv, m_nmatop); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 2, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, 2, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 527 | typedef typename internal::nested_eval::type RhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, 2, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval::type LhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>, 4, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval::type LhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 182 | return coeff(index); | ~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 2, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:370:74: required from ‘typename MatrixType::Scalar Eigen::RealSchur<_MatrixType>::computeNormOfT() [with _MatrixType = Eigen::Matrix; typename MatrixType::Scalar = double]’ 370 | norm += m_matT.col(j).segment(0, (std::min)(size,j+2)).cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:309:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 309 | Scalar norm = computeNormOfT(); | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, Eigen::Block, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, Eigen::Block, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1, -1, false>, Eigen::Block, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1, -1, false>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 1, -1, false>, Eigen::Block, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, 1, -1, false>, Eigen::Block, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:1434:69: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1434 | d.block(g_index(i), 0, g_size(i), M - 1) * invXGbar + beta.block(g_index(i), 0, g_size(i), M - 1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1387:10: required from here 1387 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:1434:69: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1434 | d.block(g_index(i), 0, g_size(i), M - 1) * invXGbar + beta.block(g_index(i), 0, g_size(i), M - 1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1387:10: required from here 1387 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:1923:52: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1923 | Eigen::MatrixXd XGbar = XA_new.transpose() * XA; | ~~~~~~~~~~~~~~~~~~~^~~~ AlgorithmGLM.h:1904:12: required from here 1904 | double effective_number_of_parameter(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::VectorXd &weights, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:1923:52: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1923 | Eigen::MatrixXd XGbar = XA_new.transpose() * XA; | ~~~~~~~~~~~~~~~~~~~^~~~ AlgorithmGLM.h:1904:12: required from here 1904 | double effective_number_of_parameter(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::VectorXd &weights, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:1420:57: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1420 | Eigen::MatrixXd XGbar = -XG_new.transpose() * XG_new; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~ AlgorithmGLM.h:1387:10: required from here 1387 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:1420:57: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1420 | Eigen::MatrixXd XGbar = -XG_new.transpose() * XG_new; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~ AlgorithmGLM.h:1387:10: required from here 1387 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:957:29: required from ‘void abessMLm::inital_setting(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 957 | this->XTone = X.transpose() * Eigen::MatrixXd::Ones(n, y.cols()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:948:10: required from here 948 | void inital_setting(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::VectorXi &g_index, | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:957:29: required from ‘void abessMLm::inital_setting(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 957 | this->XTone = X.transpose() * Eigen::MatrixXd::Ones(n, y.cols()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:948:10: required from here 948 | void inital_setting(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::VectorXi &g_index, | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix > >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix > >, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix > >, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix > >, 1, -1, true>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:957:29: required from ‘void abessMLm::inital_setting(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 957 | this->XTone = X.transpose() * Eigen::MatrixXd::Ones(n, y.cols()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:948:10: required from here 948 | void inital_setting(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::VectorXi &g_index, | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> > >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:957:29: required from ‘void abessMLm::inital_setting(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 957 | this->XTone = X.transpose() * Eigen::MatrixXd::Ones(n, y.cols()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:948:10: required from here 948 | void inital_setting(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::VectorXi &g_index, | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, Eigen::Matrix > >; Rhs = Eigen::Transpose >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]’ 379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:957:29: required from ‘void abessMLm::inital_setting(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 957 | this->XTone = X.transpose() * Eigen::MatrixXd::Ones(n, y.cols()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:948:10: required from here 948 | void inital_setting(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::VectorXi &g_index, | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:997:47: required from ‘bool abessMLm::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 997 | Eigen::MatrixXd XTX = X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols()); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:981:10: required from here 981 | bool primary_model_fit(T4 &x, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:997:47: required from ‘bool abessMLm::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 997 | Eigen::MatrixXd XTX = X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols()); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:981:10: required from here 981 | bool primary_model_fit(T4 &x, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:379:27: required from ‘void abessLm::inital_setting(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 379 | this->XTy = X.transpose() * y; | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:370:10: required from here 370 | void inital_setting(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXi &g_index, | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:421:48: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 421 | Eigen::VectorXd XTy = X_full.adjoint() * y; | ~~~~~~~~~~~~~~~~~^~~ AlgorithmGLM.h:405:10: required from here 405 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmPCA.h:252:49: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ 252 | Y = X * vec_r * vec_r.transpose(); | ^ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 153 | this->L = this->trun_svd(X); | ~~~~~~^~~~~~~~ AlgorithmPCA.h:144:21: required from here 144 | Eigen::VectorXi inital_screening(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmPCA.h:252:49: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ 252 | Y = X * vec_r * vec_r.transpose(); | ^ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 153 | this->L = this->trun_svd(X); | ~~~~~~^~~~~~~~ AlgorithmPCA.h:144:21: required from here 144 | Eigen::VectorXi inital_screening(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmPCA.h:252:49: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ 252 | Y = X * vec_r * vec_r.transpose(); | ^ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 153 | this->L = this->trun_svd(X); | ~~~~~~^~~~~~~~ AlgorithmPCA.h:144:21: required from here 144 | Eigen::VectorXi inital_screening(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmPCA.h:252:49: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ 252 | Y = X * vec_r * vec_r.transpose(); | ^ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 153 | this->L = this->trun_svd(X); | ~~~~~~^~~~~~~~ AlgorithmPCA.h:144:21: required from here 144 | Eigen::VectorXi inital_screening(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmPCA.h:273:49: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ 273 | Y = vec_l * vec_l.transpose() * X; | ^ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 153 | this->L = this->trun_svd(X); | ~~~~~~^~~~~~~~ AlgorithmPCA.h:144:21: required from here 144 | Eigen::VectorXi inital_screening(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmPCA.h:273:49: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ 273 | Y = vec_l * vec_l.transpose() * X; | ^ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 153 | this->L = this->trun_svd(X); | ~~~~~~^~~~~~~~ AlgorithmPCA.h:144:21: required from here 144 | Eigen::VectorXi inital_screening(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmPCA.h:273:49: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ 273 | Y = vec_l * vec_l.transpose() * X; | ^ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 153 | this->L = this->trun_svd(X); | ~~~~~~^~~~~~~~ AlgorithmPCA.h:144:21: required from here 144 | Eigen::VectorXi inital_screening(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmPCA.h:273:49: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ 273 | Y = vec_l * vec_l.transpose() * X; | ^ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 153 | this->L = this->trun_svd(X); | ~~~~~~^~~~~~~~ AlgorithmPCA.h:144:21: required from here 144 | Eigen::VectorXi inital_screening(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ AlgorithmPCA.h:86:42: required from ‘void abessPCA::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 86 | VectorXd D = -this->sigma * beta + beta.transpose() * this->sigma * beta * beta; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:82:10: required from here 82 | void sacrifice(T4 &X, T4 &XA, Eigen::VectorXd &y, Eigen::VectorXd &beta, Eigen::VectorXd &beta_A, double &coef0, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; ExpressionType = Eigen::Ref, 0, Eigen::InnerStride<1> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:135:23: required from ‘void Spectra::ArnoldiOp::trans_product(const Arg1&, const Arg2&, Eigen::Ref >) const [with Arg1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix; Scalar = double; OpType = Spectra::DenseSymMatProd; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 135 | res.noalias() = x.transpose() * y; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Lanczos.h:123:31: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 123 | m_op.trans_product(Vs, m_fac_f, Vf.head(i1)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 342 | m_fac.factorize_from(1, m_ncv, m_nmatop); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; ExpressionType = Eigen::Ref, 0, Eigen::InnerStride<1> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:135:23: required from ‘void Spectra::ArnoldiOp::trans_product(const Arg1&, const Arg2&, Eigen::Ref >) const [with Arg1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix; Scalar = double; OpType = Spectra::DenseSymMatProd; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 135 | res.noalias() = x.transpose() * y; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Lanczos.h:123:31: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 123 | m_op.trans_product(Vs, m_fac_f, Vf.head(i1)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 342 | m_fac.factorize_from(1, m_ncv, m_nmatop); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::PartialReduxExpr, member_sum, 0>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::PartialReduxExpr, member_sum, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; Derived = Eigen::Block, -1, 1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1654:46: required from ‘bool abessOrdinal::gradient(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1654 | g.head(k) = grad_L.colwise().sum(); | ^ AlgorithmGLM.h:1872:9: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1872 | gradient(X, y, weights, beta, coef0, d); | ^~~~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, true>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, true>, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ 194 | ::run(rhs.transpose(),lhs.transpose(), dstT, alpha); | ~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 150 | Matrix triangularBuffer(a); | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 0> >’ 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 153 | triangularBuffer.diagonal().setZero(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, -1, false>, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 4, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 4, false>; SrcXprType = Eigen::Block, 1, 4, false>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 4, false>; SrcXprType = Eigen::Block, 1, 4, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 4, false>; Src = Eigen::Block, 1, 4, false>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 4, false>; Src = Eigen::Block, 1, 4, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, 4, false>; Derived = Eigen::Block, 1, 4, false>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:547:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 4, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 4, 1, true>; SrcXprType = Eigen::Block, 4, 1, true>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 4, 1, true>; SrcXprType = Eigen::Block, 4, 1, true>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 4, 1, true>; Src = Eigen::Block, 4, 1, true>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 4, 1, true>; Src = Eigen::Block, 4, 1, true>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 4, 1, true>; Derived = Eigen::Block, 4, 1, true>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:551:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 4, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 4, 1, true>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 4, 1, true>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 4, 1, true>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 4, 1, true>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 4, 1, true>, -1, 1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:559:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:762:16: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1891:102: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1891 | betabar.segment(g_indeX(i), g_size(i)) = phiG * beta.col(0).segment(g_indeX(i), g_size(i)); | ^ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:133:56: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 133 | betabar.block(g_index(i), 0, g_size(i), M) = phiG * beta.block(g_index(i), 0, g_size(i), M); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:99:18: required from here 99 | virtual void sacrifice(T4 &X, T4 &XA, T1 &y, T2 &beta, T2 &beta_A, T3 &coef0, Eigen::VectorXi &A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:134:100: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 134 | dbar.block(g_index(i), 0, g_size(i), M) = invphiG * G.block(g_index(i), 0, g_size(i), M); | ^ AlgorithmGLM.h:99:18: required from here 99 | virtual void sacrifice(T4 &X, T4 &XA, T1 &y, T2 &beta, T2 &beta_A, T3 &coef0, Eigen::VectorXi &A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:1434:69: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1434 | d.block(g_index(i), 0, g_size(i), M - 1) * invXGbar + beta.block(g_index(i), 0, g_size(i), M - 1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1387:10: required from here 1387 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’ 78 | rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map >(rhs+s,k))).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 6]’ 71 | triangular_solve_vector | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 73 | ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:422:53: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 422 | Eigen::VectorXd beta_full = XTX.ldlt().solve(XTy); | ~~~~~~~~~~~~~~~~^~~~~ AlgorithmGLM.h:405:10: required from here 405 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:1095:19: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1095 | d = X.adjoint() * (y - array_product(one, coef0)) / double(n); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:1095:19: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1095 | d = X.adjoint() * (y - array_product(one, coef0)) / double(n); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:1095:19: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1095 | d = X.adjoint() * (y - array_product(one, coef0)) / double(n); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, true>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, true>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:1095:19: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1095 | d = X.adjoint() * (y - array_product(one, coef0)) / double(n); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Block, -1, 1, true>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:1054:39: required from ‘Eigen::MatrixXd abessMLm::covariance_update_f_U(Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1054 | *this->covariance[Ai] = (*this->x).transpose() * (*this->x).col(Ai); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1099:49: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1099 | Eigen::MatrixXd XTXbeta = this->covariance_update_f_U(U_ind, A_ind) * beta_A; | ~~~~~~^~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:997:47: required from ‘bool abessMLm::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 997 | Eigen::MatrixXd XTX = X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols()); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:981:10: required from here 981 | bool primary_model_fit(T4 &x, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:135:23: required from ‘void Spectra::ArnoldiOp::trans_product(const Arg1&, const Arg2&, Eigen::Ref >) const [with Arg1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix; Scalar = double; OpType = Spectra::DenseSymMatProd; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 135 | res.noalias() = x.transpose() * y; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Arnoldi.h:81:31: required from ‘void Spectra::Arnoldi::expand_basis(MapConstMat&, Index, Vector&, Scalar&, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; MapConstMat = Eigen::Map, 0, Eigen::Stride<0, 0> >; Index = long int; Vector = Eigen::Matrix]’ 81 | m_op.trans_product(V, f, Vf); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/include/Spectra/LinAlg/Lanczos.h:89:35: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 89 | this->expand_basis(V, 2 * i, m_fac_f, m_beta, op_counter); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ 342 | m_fac.factorize_from(1, m_ncv, m_nmatop); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 56 | eig.compute(); | ~~~~~~~~~~~^~ AlgorithmPCA.h:43:10: required from here 43 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ 341 | dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, -1, true>, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, 2, -1, true>, 2, 1, true>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, 2, -1, true>, 2, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 2, -1, true>, 2, 1, true>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 2, -1, true>, 2, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, 2, -1, true>, 2, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 2, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 2, 1, false>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 2, 1, false>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Matrix; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Matrix; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:851:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, 2, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 851 | call_assignment_no_alias(dst, tmp, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, -1, 2, false>, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:776:29: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:133:56: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 133 | betabar.block(g_index(i), 0, g_size(i), M) = phiG * beta.block(g_index(i), 0, g_size(i), M); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:99:18: required from here 99 | virtual void sacrifice(T4 &X, T4 &XA, T1 &y, T2 &beta, T2 &beta_A, T3 &coef0, Eigen::VectorXi &A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:134:100: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 134 | dbar.block(g_index(i), 0, g_size(i), M) = invphiG * G.block(g_index(i), 0, g_size(i), M); | ^ AlgorithmGLM.h:99:18: required from here 99 | virtual void sacrifice(T4 &X, T4 &XA, T1 &y, T2 &beta, T2 &beta_A, T3 &coef0, Eigen::VectorXi &A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = add_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Derived = Eigen::Block >, 1, -1, true>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:13: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:690:54: required from ‘bool abessCox::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 690 | Eigen::MatrixXd temp = x.transpose() * h * x; | ~~~~~~~~~~~~~~~~~~^~~ AlgorithmGLM.h:630:10: required from here 630 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weight, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:422:53: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 422 | Eigen::VectorXd beta_full = XTX.ldlt().solve(XTy); | ~~~~~~~~~~~~~~~~^~~~~ AlgorithmGLM.h:405:10: required from here 405 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:422:53: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 422 | Eigen::VectorXd beta_full = XTX.ldlt().solve(XTy); | ~~~~~~~~~~~~~~~~^~~~~ AlgorithmGLM.h:405:10: required from here 405 | bool primary_model_fit(T4 &x, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 1> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::internal::member_sum, 1> >, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::internal::member_sum, 1> >, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::internal::member_sum, 1> >, 1, -1, true>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Product, member_sum, 1> >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Product, member_sum, 1> >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::internal::member_sum, 1> >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Derived = Eigen::Block, -1, 1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1656:19: required from ‘bool abessOrdinal::gradient(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXd&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1656 | g.tail(p) = grad_L.rowwise().sum().transpose() * X - 2 * this->lambda_level * coef.tail(p).eval(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1872:9: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1872 | gradient(X, y, weights, beta, coef0, d); | ^~~~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1275:67: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1275 | XTW.block(m1 * X.cols(), m2 * n, X.cols(), n) = X.transpose() * W.block(m1 * n, m2 * n, n, n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1173:10: required from here 1173 | bool primary_model_fit(T4 &x, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:957:29: required from ‘void abessMLm::inital_setting(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 957 | this->XTone = X.transpose() * Eigen::MatrixXd::Ones(n, y.cols()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:948:10: required from here 948 | void inital_setting(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::VectorXi &g_index, | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix > >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix > >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:957:29: required from ‘void abessMLm::inital_setting(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 957 | this->XTone = X.transpose() * Eigen::MatrixXd::Ones(n, y.cols()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:948:10: required from here 948 | void inital_setting(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::VectorXi &g_index, | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:1095:19: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1095 | d = X.adjoint() * (y - array_product(one, coef0)) / double(n); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, -1, 1, true>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:1095:19: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1095 | d = X.adjoint() * (y - array_product(one, coef0)) / double(n); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:500:19: required from ‘void abessLm::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 500 | d = X.adjoint() * (y - coef0 * one) / double(n); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:473:10: required from here 473 | void sacrifice(T4 &X, T4 &XA, Eigen::VectorXd &y, Eigen::VectorXd &beta, Eigen::VectorXd &beta_A, double &coef0, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmPCA.h:252:49: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ 252 | Y = X * vec_r * vec_r.transpose(); | ^ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 153 | this->L = this->trun_svd(X); | ~~~~~~^~~~~~~~ AlgorithmPCA.h:144:21: required from here 144 | Eigen::VectorXi inital_screening(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmPCA.h:273:49: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ 273 | Y = vec_l * vec_l.transpose() * X; | ^ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 153 | this->L = this->trun_svd(X); | ~~~~~~^~~~~~~~ AlgorithmPCA.h:144:21: required from here 144 | Eigen::VectorXi inital_screening(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ AlgorithmPCA.h:86:42: required from ‘void abessPCA::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 86 | VectorXd D = -this->sigma * beta + beta.transpose() * this->sigma * beta * beta; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:82:10: required from here 82 | void sacrifice(T4 &X, T4 &XA, Eigen::VectorXd &y, Eigen::VectorXd &beta, Eigen::VectorXd &beta_A, double &coef0, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ AlgorithmPCA.h:86:42: required from ‘void abessPCA::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 86 | VectorXd D = -this->sigma * beta + beta.transpose() * this->sigma * beta * beta; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:82:10: required from here 82 | void sacrifice(T4 &X, T4 &XA, Eigen::VectorXd &y, Eigen::VectorXd &beta, Eigen::VectorXd &beta_A, double &coef0, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, true>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ 137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 2, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 2, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 2, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 2, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 2, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 2, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 2, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 2, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 2, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 2, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, 2, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, 2, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 2, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 2, -1, false>, 2, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 2, -1, false>, 2, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, -1, false>, 2, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, 2, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, 1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, 1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, -1, false>, 1, -1, false>; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, 1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, 2, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, 2, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 78 | RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm(); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval::type LhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 527 | typedef typename internal::nested_eval::type RhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 3, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 3, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 3, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Block, 3, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 3, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 4, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 1, 4, false>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 1>, 4, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 527 | typedef typename internal::nested_eval::type RhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Product, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 1>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Product, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 1>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, false>, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, false>, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 2, 1, false>, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 2, 1, false>, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 2, 1, false>, 1, 1, false>; Src = Eigen::Block, 1, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, false>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, false>, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, false>, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 2, 1, false>, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 2, 1, false>, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 2, 1, false>, 1, 1, false>; Src = Eigen::Block, 1, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 2, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 2, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, 2, false> >, 1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 2, false> >, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 2, false> >, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 155 | matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false> >, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 2, false> >, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 2, false> >, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 2, false> >, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 2, false> >, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 2, false> >, 1, 1, false>; Src = Eigen::Block, 1, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 155 | matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, true>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:133:56: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 133 | betabar.block(g_index(i), 0, g_size(i), M) = phiG * beta.block(g_index(i), 0, g_size(i), M); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:99:18: required from here 99 | virtual void sacrifice(T4 &X, T4 &XA, T1 &y, T2 &beta, T2 &beta_A, T3 &coef0, Eigen::VectorXi &A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:1434:69: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1434 | d.block(g_index(i), 0, g_size(i), M - 1) * invXGbar + beta.block(g_index(i), 0, g_size(i), M - 1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1387:10: required from here 1387 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:1434:69: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1434 | d.block(g_index(i), 0, g_size(i), M - 1) * invXGbar + beta.block(g_index(i), 0, g_size(i), M - 1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1387:10: required from here 1387 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 1> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::internal::member_sum, 1> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::internal::member_sum, 1> > >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, Eigen::internal::member_sum, 1> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Product, member_sum, 1> >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Product, member_sum, 1> >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::internal::member_sum, 1> >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Derived = Eigen::Block, -1, 1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1656:19: required from ‘bool abessOrdinal::gradient(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXd&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1656 | g.tail(p) = grad_L.rowwise().sum().transpose() * X - 2 * this->lambda_level * coef.tail(p).eval(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1872:9: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1872 | gradient(X, y, weights, beta, coef0, d); | ^~~~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:1923:52: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1923 | Eigen::MatrixXd XGbar = XA_new.transpose() * XA; | ~~~~~~~~~~~~~~~~~~~^~~~ AlgorithmGLM.h:1904:12: required from here 1904 | double effective_number_of_parameter(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::VectorXd &weights, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1275:67: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1275 | XTW.block(m1 * X.cols(), m2 * n, X.cols(), n) = X.transpose() * W.block(m1 * n, m2 * n, n, n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1173:10: required from here 1173 | bool primary_model_fit(T4 &x, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1275:67: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1275 | XTW.block(m1 * X.cols(), m2 * n, X.cols(), n) = X.transpose() * W.block(m1 * n, m2 * n, n, n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1173:10: required from here 1173 | bool primary_model_fit(T4 &x, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseNullaryOp, Eigen::Matrix >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseNullaryOp, Eigen::Matrix >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:957:29: required from ‘void abessMLm::inital_setting(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 957 | this->XTone = X.transpose() * Eigen::MatrixXd::Ones(n, y.cols()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:948:10: required from here 948 | void inital_setting(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::VectorXi &g_index, | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, 1, -1, true>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]’ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:1095:19: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1095 | d = X.adjoint() * (y - array_product(one, coef0)) / double(n); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:997:47: required from ‘bool abessMLm::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 997 | Eigen::MatrixXd XTX = X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols()); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:981:10: required from here 981 | bool primary_model_fit(T4 &x, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:997:47: required from ‘bool abessMLm::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 997 | Eigen::MatrixXd XTX = X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols()); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:981:10: required from here 981 | bool primary_model_fit(T4 &x, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:997:47: required from ‘bool abessMLm::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 997 | Eigen::MatrixXd XTX = X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols()); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:981:10: required from here 981 | bool primary_model_fit(T4 &x, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, true>, -1, -1, false>, -1, 1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 2, false>, 1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 2, false>, 1, 2, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 2, false>, 1, 2, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>, -1, 2, false>; Rhs = Eigen::Matrix; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>, -1, 2, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:22: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, false>, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>, -1, 1, false>; Rhs = Eigen::Matrix; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>, -1, 1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, -1, true>, 2, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 2, -1, true>, 2, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval::type LhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 2, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, 2, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 527 | typedef typename internal::nested_eval::type RhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, 2, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval::type LhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>, 4, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval::type LhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Matrix; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Matrix; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:851:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, 4, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 851 | call_assignment_no_alias(dst, tmp, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, -1, 4, false>, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:776:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 2, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 2, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 2, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 2, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 2, 1, true>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 272 | result = U * sqrtT * U.adjoint(); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1276:82: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1276 | XTWX.block(m1 * X.cols(), m2 * X.cols(), X.cols(), X.cols()) = | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 1277 | XTW.block(m1 * X.cols(), m2 * n, X.cols(), n) * X + 2 * this->lambda_level * lambdamat; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1173:10: required from here 1173 | bool primary_model_fit(T4 &x, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:35: required from ‘static void Eigen::internal::sparse_time_dense_product_impl::processRow(const LhsEval&, const DenseRhsType&, Res&, const typename Eigen::internal::remove_all::type::Scalar&, Eigen::Index) [with SparseLhsType = Eigen::Transpose >; DenseRhsType = Eigen::Transpose, -1, -1, false> >; DenseResType = Eigen::Transpose >; LhsEval = Eigen::internal::evaluator > >; Res = Eigen::Transpose >; typename Eigen::internal::remove_all::type::Scalar = double; Eigen::Index = long int]’ 145 | res_i += (alpha*it.value()) * rhs.row(it.index()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:131:19: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1276:82: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1276 | XTWX.block(m1 * X.cols(), m2 * X.cols(), X.cols(), X.cols()) = | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 1277 | XTW.block(m1 * X.cols(), m2 * n, X.cols(), n) * X + 2 * this->lambda_level * lambdamat; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1173:10: required from here 1173 | bool primary_model_fit(T4 &x, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 1> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::internal::member_sum, 1> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::internal::member_sum, 1> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::internal::member_sum, 1> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Product, member_sum, 1> >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Product, member_sum, 1> >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::internal::member_sum, 1> >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Derived = Eigen::Block, -1, 1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1656:19: required from ‘bool abessOrdinal::gradient(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXd&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1656 | g.tail(p) = grad_L.rowwise().sum().transpose() * X - 2 * this->lambda_level * coef.tail(p).eval(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1872:9: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1872 | gradient(X, y, weights, beta, coef0, d); | ^~~~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::internal::member_sum, 1> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::internal::member_sum, 1> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::internal::member_sum, 1> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::internal::member_sum, 1> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::internal::member_sum, 1> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::internal::member_sum, 1> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Product, member_sum, 1> >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Product, member_sum, 1> >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::internal::member_sum, 1> >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Derived = Eigen::Block, -1, 1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1656:19: required from ‘bool abessOrdinal::gradient(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXd&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1656 | g.tail(p) = grad_L.rowwise().sum().transpose() * X - 2 * this->lambda_level * coef.tail(p).eval(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1872:9: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1872 | gradient(X, y, weights, beta, coef0, d); | ^~~~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:957:29: required from ‘void abessMLm::inital_setting(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 957 | this->XTone = X.transpose() * Eigen::MatrixXd::Ones(n, y.cols()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:948:10: required from here 948 | void inital_setting(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::VectorXi &g_index, | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:957:29: required from ‘void abessMLm::inital_setting(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 957 | this->XTone = X.transpose() * Eigen::MatrixXd::Ones(n, y.cols()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:948:10: required from here 948 | void inital_setting(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::VectorXi &g_index, | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:88: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, Eigen::Matrix > >; Rhs = Eigen::Transpose >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]’ 379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, 1, -1, true>; Rhs = Eigen::CwiseNullaryOp, Eigen::Matrix >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]’ 206 | gemv_dense_selector | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:957:29: required from ‘void abessMLm::inital_setting(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 957 | this->XTone = X.transpose() * Eigen::MatrixXd::Ones(n, y.cols()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:948:10: required from here 948 | void inital_setting(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::VectorXi &g_index, | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:1095:19: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1095 | d = X.adjoint() * (y - array_product(one, coef0)) / double(n); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:1095:19: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1095 | d = X.adjoint() * (y - array_product(one, coef0)) / double(n); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:1095:19: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1095 | d = X.adjoint() * (y - array_product(one, coef0)) / double(n); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> > >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:1095:19: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1095 | d = X.adjoint() * (y - array_product(one, coef0)) / double(n); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::Transpose >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]’ 379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:1095:19: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1095 | d = X.adjoint() * (y - array_product(one, coef0)) / double(n); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:379:27: required from ‘void abessLm::inital_setting(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 379 | this->XTy = X.transpose() * y; | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:370:10: required from here 370 | void inital_setting(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXi &g_index, | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:500:19: required from ‘void abessLm::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 500 | d = X.adjoint() * (y - coef0 * one) / double(n); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:473:10: required from here 473 | void sacrifice(T4 &X, T4 &XA, Eigen::VectorXd &y, Eigen::VectorXd &beta, Eigen::VectorXd &beta_A, double &coef0, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmPCA.h:252:49: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ 252 | Y = X * vec_r * vec_r.transpose(); | ^ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 153 | this->L = this->trun_svd(X); | ~~~~~~^~~~~~~~ AlgorithmPCA.h:144:21: required from here 144 | Eigen::VectorXi inital_screening(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Transpose > >, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Transpose > >, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Transpose > >, 1, -1, true>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:79:38: required from ‘double abessPCA::loss_function(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 79 | return -beta.transpose() * Y * beta; | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmPCA.h:69:12: required from here 69 | double loss_function(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ AlgorithmPCA.h:86:42: required from ‘void abessPCA::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 86 | VectorXd D = -this->sigma * beta + beta.transpose() * this->sigma * beta * beta; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:82:10: required from here 82 | void sacrifice(T4 &X, T4 &XA, Eigen::VectorXd &y, Eigen::VectorXd &beta, Eigen::VectorXd &beta_A, double &coef0, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 2, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, 2, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 2, -1, false>, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, 1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, 1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ 194 | ::run(rhs.transpose(),lhs.transpose(), dstT, alpha); | ~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 2, false>, Eigen::Block, -1, 1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 2, false>, Eigen::Block, -1, 1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false>, Eigen::Block, -1, 1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 2, false>, Eigen::Block, -1, 1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 2, false>, Eigen::Block, -1, 1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 2, false>, Eigen::Block, -1, 1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 155 | matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:1092:19: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1092 | d = X.adjoint() * (y - XA * beta_A - array_product(one, coef0)) / double(n) - | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1093 | 2 * this->lambda_level * beta; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:1092:19: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1092 | d = X.adjoint() * (y - XA * beta_A - array_product(one, coef0)) / double(n) - | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1093 | 2 * this->lambda_level * beta; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:1092:19: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1092 | d = X.adjoint() * (y - XA * beta_A - array_product(one, coef0)) / double(n) - | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1093 | 2 * this->lambda_level * beta; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, true>, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, true>, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:1092:19: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1092 | d = X.adjoint() * (y - XA * beta_A - array_product(one, coef0)) / double(n) - | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1093 | 2 * this->lambda_level * beta; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Block, -1, 1, true>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:1054:39: required from ‘Eigen::MatrixXd abessMLm::covariance_update_f_U(Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1054 | *this->covariance[Ai] = (*this->x).transpose() * (*this->x).col(Ai); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1099:49: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1099 | Eigen::MatrixXd XTXbeta = this->covariance_update_f_U(U_ind, A_ind) * beta_A; | ~~~~~~^~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:997:47: required from ‘bool abessMLm::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 997 | Eigen::MatrixXd XTX = X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols()); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:981:10: required from here 981 | bool primary_model_fit(T4 &x, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Transpose > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Transpose > > >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:79:38: required from ‘double abessPCA::loss_function(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 79 | return -beta.transpose() * Y * beta; | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmPCA.h:69:12: required from here 69 | double loss_function(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ 341 | dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 4, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 4, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 4, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 4, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 4, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 4, 1, true>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, -1, 1, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true>, -1, 1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false>, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false>, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 2, 1, true>, -1, 1, false>, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 2, 1, true>, -1, 1, false>, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1, -1, false>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1, -1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false>, 1, -1, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false>, 1, -1, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 1, -1, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 2, false>, 1, -1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 2, false>, 1, -1, false>, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 2, false>, 1, -1, false>, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 2, false>, 1, -1, false>, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 2, false>, 1, -1, false>, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 2, false>, 1, -1, false>, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 2, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 1, 2, false>, 1, -1, false>; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, 2, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 1, 2, false>, 1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:1434:69: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1434 | d.block(g_index(i), 0, g_size(i), M - 1) * invXGbar + beta.block(g_index(i), 0, g_size(i), M - 1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1387:10: required from here 1387 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::internal::member_sum, 1> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::internal::member_sum, 1> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Product, member_sum, 1> >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Product, member_sum, 1> >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::internal::member_sum, 1> >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Derived = Eigen::Block, -1, 1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1656:19: required from ‘bool abessOrdinal::gradient(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXd&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1656 | g.tail(p) = grad_L.rowwise().sum().transpose() * X - 2 * this->lambda_level * coef.tail(p).eval(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1872:9: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1872 | gradient(X, y, weights, beta, coef0, d); | ^~~~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Block, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1275:67: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1275 | XTW.block(m1 * X.cols(), m2 * n, X.cols(), n) = X.transpose() * W.block(m1 * n, m2 * n, n, n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1173:10: required from here 1173 | bool primary_model_fit(T4 &x, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:1092:19: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1092 | d = X.adjoint() * (y - XA * beta_A - array_product(one, coef0)) / double(n) - | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1093 | 2 * this->lambda_level * beta; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true>, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true>, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true>, -1, 1, true>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:1092:19: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1092 | d = X.adjoint() * (y - XA * beta_A - array_product(one, coef0)) / double(n) - | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1093 | 2 * this->lambda_level * beta; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:1095:19: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1095 | d = X.adjoint() * (y - array_product(one, coef0)) / double(n); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:1095:19: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1095 | d = X.adjoint() * (y - array_product(one, coef0)) / double(n); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:498:19: required from ‘void abessLm::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 498 | d = X.adjoint() * (y - XA * beta_A - coef0 * one) / double(n) - 2 * this->lambda_level * beta; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:473:10: required from here 473 | void sacrifice(T4 &X, T4 &XA, Eigen::VectorXd &y, Eigen::VectorXd &beta, Eigen::VectorXd &beta_A, double &coef0, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:500:19: required from ‘void abessLm::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 500 | d = X.adjoint() * (y - coef0 * one) / double(n); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:473:10: required from here 473 | void sacrifice(T4 &X, T4 &XA, Eigen::VectorXd &y, Eigen::VectorXd &beta, Eigen::VectorXd &beta_A, double &coef0, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:79:38: required from ‘double abessPCA::loss_function(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 79 | return -beta.transpose() * Y * beta; | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmPCA.h:69:12: required from here 69 | double loss_function(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:79:38: required from ‘double abessPCA::loss_function(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 79 | return -beta.transpose() * Y * beta; | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmPCA.h:69:12: required from here 69 | double loss_function(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ 137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true>, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 2, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose, 2, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 2, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false> >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose, -1, 1, false> >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, -1, 1, false> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 2, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 2, -1, false>, 2, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 2, -1, false>, 2, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, -1, false>, 2, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, 2, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, -1, false>, 1, -1, false>; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, 1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, 1, true>, -1, 1, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, 1, true>, -1, 1, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 4, 1, true>, -1, 1, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 4, 1, true>, -1, 1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, 1, true>, -1, 1, false>, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, 1, true>, -1, 1, false>, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 4, 1, true>, -1, 1, false>, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 4, 1, true>, -1, 1, false>, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 1, -1, false>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 1, -1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 4, false>, 1, -1, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 4, false>, 1, -1, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 4, false>, 1, -1, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 4, false>, 1, -1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 4, false>, 1, -1, false>, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 4, false>, 1, -1, false>, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 4, false>, 1, -1, false>, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 4, false>, 1, -1, false>, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 4, false>, 1, -1, false>, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 4, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 1, 4, false>, 1, -1, false>; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, 4, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 1, 4, false>, 1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 4, false>, Eigen::Block, -1, 1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 4, false>, Eigen::Block, -1, 1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 4, false>, Eigen::Block, -1, 1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 4, false>, Eigen::Block, -1, 1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 4, false>, Eigen::Block, -1, 1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 4, false>, Eigen::Block, -1, 1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 2, 1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 2, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 2, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 2, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseNullaryOp, Eigen::Matrix >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseNullaryOp, Eigen::Matrix >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:957:29: required from ‘void abessMLm::inital_setting(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 957 | this->XTone = X.transpose() * Eigen::MatrixXd::Ones(n, y.cols()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:948:10: required from here 948 | void inital_setting(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::VectorXi &g_index, | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:997:47: required from ‘bool abessMLm::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 997 | Eigen::MatrixXd XTX = X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols()); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:981:10: required from here 981 | bool primary_model_fit(T4 &x, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ AlgorithmGLM.h:997:47: required from ‘bool abessMLm::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 997 | Eigen::MatrixXd XTX = X.adjoint() * X + this->lambda_level * Eigen::MatrixXd::Identity(X.cols(), X.cols()); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:981:10: required from here 981 | bool primary_model_fit(T4 &x, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 2, false>, 1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 2, false>, 1, 2, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 2, false>, 1, 2, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>, -1, 2, false>; Rhs = Eigen::Matrix; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>, -1, 2, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:22: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, false>, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>, -1, 1, false>; Rhs = Eigen::Matrix; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>, -1, 1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false>, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 2, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false>, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false>, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 2, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false>, 1, -1, false>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 2, false>, 1, -1, false>, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 2, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 2, false>, 1, -1, false>, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 2, false>, 1, -1, false>, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 2, false>, 1, -1, false>, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 2, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator, -1, 2, false>, Eigen::Block, -1, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval::type LhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, 2, false>, Eigen::Block, -1, 1, false>, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, -1, 2, false>, Eigen::Block, -1, 1, false>, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, -1, 2, false>, Eigen::Block, -1, 1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, member_sum, 1> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::internal::member_sum, 1> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::internal::member_sum, 1> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::internal::member_sum, 1> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::internal::member_sum, 1> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::internal::member_sum, 1> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, Eigen::internal::member_sum, 1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Product, member_sum, 1> >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Product, member_sum, 1> >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::internal::member_sum, 1> >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Derived = Eigen::Block, -1, 1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1656:19: required from ‘bool abessOrdinal::gradient(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXd&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1656 | g.tail(p) = grad_L.rowwise().sum().transpose() * X - 2 * this->lambda_level * coef.tail(p).eval(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1872:9: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1872 | gradient(X, y, weights, beta, coef0, d); | ^~~~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:1092:19: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1092 | d = X.adjoint() * (y - XA * beta_A - array_product(one, coef0)) / double(n) - | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1093 | 2 * this->lambda_level * beta; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:1092:19: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1092 | d = X.adjoint() * (y - XA * beta_A - array_product(one, coef0)) / double(n) - | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1093 | 2 * this->lambda_level * beta; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:1095:19: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1095 | d = X.adjoint() * (y - array_product(one, coef0)) / double(n); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:1095:19: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1095 | d = X.adjoint() * (y - array_product(one, coef0)) / double(n); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:88: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::Transpose >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]’ 379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, 1, -1, true>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]’ 206 | gemv_dense_selector | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:1095:19: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1095 | d = X.adjoint() * (y - array_product(one, coef0)) / double(n); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:498:19: required from ‘void abessLm::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 498 | d = X.adjoint() * (y - XA * beta_A - coef0 * one) / double(n) - 2 * this->lambda_level * beta; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:473:10: required from here 473 | void sacrifice(T4 &X, T4 &XA, Eigen::VectorXd &y, Eigen::VectorXd &beta, Eigen::VectorXd &beta_A, double &coef0, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:500:19: required from ‘void abessLm::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 500 | d = X.adjoint() * (y - coef0 * one) / double(n); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:473:10: required from here 473 | void sacrifice(T4 &X, T4 &XA, Eigen::VectorXd &y, Eigen::VectorXd &beta, Eigen::VectorXd &beta_A, double &coef0, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:79:38: required from ‘double abessPCA::loss_function(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 79 | return -beta.transpose() * Y * beta; | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmPCA.h:69:12: required from here 69 | double loss_function(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 2, -1, false>, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 4, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 4, 1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 4, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 4, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 4, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; Eigen::Index = long int]’ 113 | matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 4, 1, true>, -1, 1, false>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 4, 1, true>, -1, 1, false>, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 4, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 4, 1, true>, -1, 1, false>, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 4, 1, true>, -1, 1, false>, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 4, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 4, false>, 1, -1, false>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 4, false>, 1, -1, false>, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 4, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 4, false>, 1, -1, false>, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 4, false>, 1, -1, false>, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 4, false>, 1, -1, false>, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1276:82: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1276 | XTWX.block(m1 * X.cols(), m2 * X.cols(), X.cols(), X.cols()) = | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 1277 | XTW.block(m1 * X.cols(), m2 * n, X.cols(), n) * X + 2 * this->lambda_level * lambdamat; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1173:10: required from here 1173 | bool primary_model_fit(T4 &x, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ 660 | m_functor.assignCoeff(m_dst.coeffRef(index), m_src.coeff(index)); | ~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:518:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 4, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 4, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator, -1, 4, false>, Eigen::Block, -1, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval::type LhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, 4, false>, Eigen::Block, -1, 1, false>, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, -1, 4, false>, Eigen::Block, -1, 1, false>, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, -1, 4, false>, Eigen::Block, -1, 1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:1092:19: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1092 | d = X.adjoint() * (y - XA * beta_A - array_product(one, coef0)) / double(n) - | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1093 | 2 * this->lambda_level * beta; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:498:19: required from ‘void abessLm::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 498 | d = X.adjoint() * (y - XA * beta_A - coef0 * one) / double(n) - 2 * this->lambda_level * beta; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:473:10: required from here 473 | void sacrifice(T4 &X, T4 &XA, Eigen::VectorXd &y, Eigen::VectorXd &beta, Eigen::VectorXd &beta_A, double &coef0, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmPCA.h:79:38: required from ‘double abessPCA::loss_function(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 79 | return -beta.transpose() * Y * beta; | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmPCA.h:69:12: required from here 69 | double loss_function(T4 &X, Eigen::VectorXd &y, Eigen::VectorXd &weights, Eigen::VectorXd &beta, double &coef0, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 113 | compute(matrix.derived(), computeU); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 263 | const RealSchur schurOfA(arg); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose, 2, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 2, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ 660 | m_functor.assignCoeff(m_dst.coeffRef(index), m_src.coeff(index)); | ~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:518:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block >, 1, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block >, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 155 | matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 1, 2, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 2, false>, 1, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false>, 1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 2, false>, 1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 2, false>, 1, 2, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 1, 2, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 1, 2, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 2, false>, 1, 2, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false>, 1, 2, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 2, false>, 1, 2, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 2, false>, 1, 2, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 2, false>, 1, 2, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 2, false>, 1, 2, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 2, false>, 1, 2, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 2, false>, 1, 2, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 2, false>, 1, 2, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block, -1, 2, false>; Rhs = Eigen::Block, -1, 1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, 2, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:1092:19: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1092 | d = X.adjoint() * (y - XA * beta_A - array_product(one, coef0)) / double(n) - | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1093 | 2 * this->lambda_level * beta; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:1092:19: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1092 | d = X.adjoint() * (y - XA * beta_A - array_product(one, coef0)) / double(n) - | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1093 | 2 * this->lambda_level * beta; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:1067:10: required from here 1067 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ AlgorithmGLM.h:498:19: required from ‘void abessLm::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 498 | d = X.adjoint() * (y - XA * beta_A - coef0 * one) / double(n) - 2 * this->lambda_level * beta; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmGLM.h:473:10: required from here 473 | void sacrifice(T4 &X, T4 &XA, Eigen::VectorXd &y, Eigen::VectorXd &beta, Eigen::VectorXd &beta_A, double &coef0, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 4, false>, 1, 4, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 4, false>, 1, 4, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 4, false>, 1, 4, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 4, false>, 1, 4, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 4, false>, 1, 4, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 4, false>, 1, 4, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 4, false>, 1, 4, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 4, false>, 1, 4, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 4, false>, 1, 4, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 4, false>, 1, 4, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 4, false>, 1, 4, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 4, false>, 1, 4, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 4, false>, 1, 4, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 4, false>, 1, 4, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 4, false>, 1, 4, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 4, false>, 1, 4, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 4, false>, 1, 4, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block, -1, 4, false>; Rhs = Eigen::Block, -1, 1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, 4, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 2, false>, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 2, false>, 1, 2, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 2, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 2, false>, 1, 2, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 2, false>, 1, 2, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 2, false>, 1, 2, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 2, false>, 1, 2, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 2, false>, 1, 2, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 2, false>, 1, 2, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 2, false>, 1, 2, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 130 | matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 184 | internal::matrix_sqrt_quasi_triangular_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 4, false>, 1, 4, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 4, false>, 1, 4, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 4, false>, 1, 4, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 4, false>, 1, 4, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 4, false>, 1, 4, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 4, false>, 1, 4, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 4, false>, 1, 4, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 4, false>, 1, 4, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 4, false>, 1, 4, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 4, false>, 1, 4, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 151 | matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ 185 | internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 269 | matrix_sqrt_quasi_triangular(T, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ 1888 | hessianG.sqrt().evalTo(phiG); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ AlgorithmGLM.h:1860:10: required from here 1860 | void sacrifice(T4 &X, T4 &XA, Eigen::MatrixXd &y, Eigen::MatrixXd &beta, Eigen::MatrixXd &beta_A, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/UpperHessenbergQR.h:235:33: required from ‘void Spectra::UpperHessenbergQR::compute(ConstGenericMatrix&, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ 235 | m_mat_R.diagonal().array() -= m_shift; | ~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Spectra/LinAlg/UpperHessenbergQR.h:222:18: required from here 222 | virtual void compute(ConstGenericMatrix& mat, const Scalar& shift = Scalar(0)) | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Spectra/LinAlg/Arnoldi.h:233:40: required from ‘void Spectra::Arnoldi::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 233 | m_fac_f.noalias() = w - Vs * h; | ~~~^~~ ../inst/include/Spectra/LinAlg/Arnoldi.h:177:18: required from here 177 | virtual void factorize_from(Index from_k, Index to_m, Index& op_counter) | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Arnoldi.h:233:35: required from ‘void Spectra::Arnoldi::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 233 | m_fac_f.noalias() = w - Vs * h; | ~~^~~~~~~~ ../inst/include/Spectra/LinAlg/Arnoldi.h:177:18: required from here 177 | virtual void factorize_from(Index from_k, Index to_m, Index& op_counter) | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Spectra/LinAlg/Arnoldi.h:260:41: required from ‘void Spectra::Arnoldi::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 260 | m_fac_f.noalias() -= Vs * Vf.head(i1); | ~~~^~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Arnoldi.h:177:18: required from here 177 | virtual void factorize_from(Index from_k, Index to_m, Index& op_counter) | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:224:29: required from ‘static void Eigen::internal::assignment_from_xpr_op_product::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; InitialFunc = Eigen::internal::assign_op; DstXprType = Eigen::Matrix; OtherXpr = Eigen::Matrix; ProductType = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func1 = Eigen::internal::assign_op; Func2 = Eigen::internal::sub_assign_op]’ 224 | call_assignment_no_alias(dst, src.rhs(), Func2()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Arnoldi.h:233:31: required from ‘void Spectra::Arnoldi::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 233 | m_fac_f.noalias() = w - Vs * h; | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Arnoldi.h:177:18: required from here 177 | virtual void factorize_from(Index from_k, Index to_m, Index& op_counter) | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’ 357 | { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0>]’ 178 | generic_product_impl::subTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Arnoldi.h:260:35: required from ‘void Spectra::Arnoldi::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 260 | m_fac_f.noalias() -= Vs * Vf.head(i1); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Arnoldi.h:177:18: required from here 177 | virtual void factorize_from(Index from_k, Index to_m, Index& op_counter) | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:224:29: required from ‘static void Eigen::internal::assignment_from_xpr_op_product::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; InitialFunc = Eigen::internal::assign_op; DstXprType = Eigen::Matrix; OtherXpr = Eigen::Matrix; ProductType = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func1 = Eigen::internal::assign_op; Func2 = Eigen::internal::sub_assign_op]’ 224 | call_assignment_no_alias(dst, src.rhs(), Func2()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Arnoldi.h:233:31: required from ‘void Spectra::Arnoldi::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 233 | m_fac_f.noalias() = w - Vs * h; | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Arnoldi.h:177:18: required from here 177 | virtual void factorize_from(Index from_k, Index to_m, Index& op_counter) | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:224:29: required from ‘static void Eigen::internal::assignment_from_xpr_op_product::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; InitialFunc = Eigen::internal::assign_op; DstXprType = Eigen::Matrix; OtherXpr = Eigen::Matrix; ProductType = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func1 = Eigen::internal::assign_op; Func2 = Eigen::internal::sub_assign_op]’ 224 | call_assignment_no_alias(dst, src.rhs(), Func2()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Arnoldi.h:233:31: required from ‘void Spectra::Arnoldi::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ 233 | m_fac_f.noalias() = w - Vs * h; | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ ../inst/include/Spectra/LinAlg/Arnoldi.h:177:18: required from here 177 | virtual void factorize_from(Index from_k, Index to_m, Index& op_counter) | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I ../inst/include -DR_BUILD -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include -fopenmp -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c normalize.cpp -o normalize.o In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28, from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25, from normalize.cpp:7: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ normalize.cpp:35:14: required from here 35 | int n = X.rows(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ normalize.cpp:35:14: required from here 35 | int n = X.rows(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ normalize.cpp:37:26: required from here 37 | Eigen::VectorXd tmp(n); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ 103 | template class Block | ^~~~~ normalize.cpp:39:37: required from here 39 | meanx(i) = weights.dot(X.col(i)) / double(n); | ~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ normalize.cpp:43:34: required from here 43 | X.col(i) = X.col(i).array() - meanx(i); | ~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ normalize.cpp:43:46: required from here 43 | X.col(i) = X.col(i).array() - meanx(i); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ normalize.cpp:43:46: required from here 43 | X.col(i) = X.col(i).array() - meanx(i); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ normalize.cpp:45:16: required from here 45 | y = y.array() - meany; | ~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ normalize.cpp:45:21: required from here 45 | y = y.array() - meany; | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ normalize.cpp:49:33: required from here 49 | tmp = tmp.array().square(); | ~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ normalize.cpp:56:45: required from here 56 | X.col(i) = sqrt(double(n)) * X.col(i) / normx(i); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ normalize.cpp:56:45: required from here 56 | X.col(i) = sqrt(double(n)) * X.col(i) / normx(i); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ normalize.cpp:56:56: required from here 56 | X.col(i) = sqrt(double(n)) * X.col(i) / normx(i); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ normalize.cpp:68:24: required from here 68 | meany = y.transpose() * weights / double(n); | ~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ normalize.cpp:68:29: required from here 68 | meany = y.transpose() * weights / double(n); | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ normalize.cpp:68:47: required from here 68 | meany = y.transpose() * weights / double(n); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ 103 | template class Block | ^~~~~ normalize.cpp:74:14: required from here 74 | y.row(i) = y.row(i) - meany; | ~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ normalize.cpp:74:31: required from here 74 | y.row(i) = y.row(i) - meany; | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ normalize.cpp:39:31: required from here 39 | meanx(i) = weights.dot(X.col(i)) / double(n); | ~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ normalize.cpp:41:19: required from here 41 | meany = (y.dot(weights)) / double(n); | ~~~~~^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Block, -1, 1, true>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ normalize.cpp:43:46: required from here 43 | X.col(i) = X.col(i).array() - meanx(i); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:277: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ normalize.cpp:39:31: required from here 39 | meanx(i) = weights.dot(X.col(i)) / double(n); | ~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ normalize.cpp:39:31: required from here 39 | meanx(i) = weights.dot(X.col(i)) / double(n); | ~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ normalize.cpp:41:19: required from here 41 | meany = (y.dot(weights)) / double(n); | ~~~~~^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; Derived = Eigen::Block, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ normalize.cpp:74:31: required from here 74 | y.row(i) = y.row(i) - meany; | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ normalize.cpp:68:47: required from here 68 | meany = y.transpose() * weights / double(n); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ normalize.cpp:68:47: required from here 68 | meany = y.transpose() * weights / double(n); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ normalize.cpp:68:47: required from here 68 | meany = y.transpose() * weights / double(n); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ normalize.cpp:68:47: required from here 68 | meany = y.transpose() * weights / double(n); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ normalize.cpp:68:47: required from here 68 | meany = y.transpose() * weights / double(n); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:333: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 306 | typedef typename Traits::LhsPacket LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ 346 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 347 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 348 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 350 | RhsMapper(actualRhsPtr, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 352 | actualAlpha); | ~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ normalize.cpp:68:47: required from here 68 | meany = y.transpose() * weights / double(n); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 310 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ 346 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 347 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 348 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 350 | RhsMapper(actualRhsPtr, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 352 | actualAlpha); | ~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ normalize.cpp:68:47: required from here 68 | meany = y.transpose() * weights / double(n); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 314 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ 346 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 347 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 348 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 350 | RhsMapper(actualRhsPtr, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 352 | actualAlpha); | ~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ normalize.cpp:68:47: required from here 68 | meany = y.transpose() * weights / double(n); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ normalize.cpp:68:47: required from here 68 | meany = y.transpose() * weights / double(n); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ normalize.cpp:68:47: required from here 68 | meany = y.transpose() * weights / double(n); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ normalize.cpp:68:47: required from here 68 | meany = y.transpose() * weights / double(n); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ normalize.cpp:68:47: required from here 68 | meany = y.transpose() * weights / double(n); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ normalize.cpp:68:47: required from here 68 | meany = y.transpose() * weights / double(n); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ normalize.cpp:68:47: required from here 68 | meany = y.transpose() * weights / double(n); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I ../inst/include -DR_BUILD -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include -fopenmp -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c utilities.cpp -o utilities.o In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28, from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25, from utilities.cpp:11: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NumTraits.h:167:53: required from ‘struct Eigen::GenericNumTraits >’ 167 | typename internal::conditional::type, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NumTraits.h:232:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase, -1, -1> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix, -1, -1>’ 178 | class Matrix | ^~~~~~ utilities.cpp:56:97: required from here 56 | Eigen::Matrix invPhi(Eigen::Matrix &Phi, int N) | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase, -1, -1> >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix, -1, -1>’ 178 | class Matrix | ^~~~~~ utilities.cpp:56:97: required from here 56 | Eigen::Matrix invPhi(Eigen::Matrix &Phi, int N) | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:287:19: required from ‘class Eigen::LDLT, 1>’ 287 | TmpMatrixType m_temporary; | ^~~~~~~~~~~ utilities.cpp:62:40: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ utilities.cpp:62:74: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ utilities.cpp:62:48: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ utilities.cpp:318:34: required from here 318 | A = Eigen::VectorXd::Zero(0); | ~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ utilities.cpp:349:34: required from here 349 | A = Eigen::MatrixXd::Zero(ind.size(), nums.cols()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ 103 | template class Block | ^~~~~ utilities.cpp:352:22: required from here 352 | A.row(i) = nums.row(ind(i)); | ~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ 103 | template class Block | ^~~~~ utilities.cpp:359:22: required from here 359 | A.col(i) = nums.col(ind(i)); | ~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ utilities.cpp:368:67: required from here 368 | Eigen::SparseMatrix nums_row(nums); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 1, -1, true> >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, 1, -1>’ 96 | class sparse_matrix_block_impl | ^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from ‘class Eigen::BlockImpl, 1, -1, true, Eigen::Sparse>’ 287 | class BlockImpl,BlockRows,BlockCols,true,Sparse> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, true>’ 103 | template class Block | ^~~~~ utilities.cpp:374:26: required from here 374 | A_row.row(i) = nums_row.row(ind(i)); | ~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ 96 | class sparse_matrix_block_impl | ^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ 287 | class BlockImpl,BlockRows,BlockCols,true,Sparse> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ 103 | template class Block | ^~~~~ utilities.cpp:384:22: required from here 384 | A.col(i) = nums.col(ind(i)); | ~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ utilities.cpp:454:16: required from here 454 | A = A.array() * B.array(); | ~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ utilities.cpp:454:29: required from here 454 | A = A.array() * B.array(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 1, -1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 1, -1, false> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ utilities.cpp:461:38: required from here 461 | A.row(i) = A.row(i).array() * B.array(); | ~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::ArrayWrapper > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ utilities.cpp:461:51: required from here 461 | A.row(i) = A.row(i).array() * B.array(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ utilities.cpp:465:38: required from here 465 | A.col(i) = A.col(i).array() * B.array(); | ~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ utilities.cpp:465:51: required from here 465 | A.col(i) = A.col(i).array() * B.array(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ utilities.cpp:481:29: required from here 481 | A = A.array() / B.array(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::ArrayWrapper > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ utilities.cpp:496:51: required from here 496 | A.row(i) = A.row(i).array() / B.array(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ utilities.cpp:500:51: required from here 500 | A.col(i) = A.col(i).array() / B.array(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ utilities.cpp:515:23: required from here 515 | return A.transpose() * B; | ~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ utilities.cpp:515:28: required from here 515 | return A.transpose() * B; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ utilities.cpp:619:55: required from here 619 | Eigen::VectorXd sqrt_weight = weights.array().sqrt(); | ~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ utilities.cpp:622:44: required from here 622 | x.row(i) = x.row(i) * sqrt_weight(i); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ utilities.cpp:622:44: required from here 622 | x.row(i) = x.row(i) * sqrt_weight(i); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 1; _StorageIndex = int]’ 687 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ utilities.cpp:368:67: required from here 368 | Eigen::SparseMatrix nums_row(nums); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1181 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ utilities.cpp:378:13: required from here 378 | A = A_row; | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ utilities.cpp:506:73: required from here 506 | double matrix_dot(Eigen::VectorXd &A, Eigen::VectorXd &B) { return A.dot(B); } | ~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ utilities.cpp:622:44: required from here 622 | x.row(i) = x.row(i) * sqrt_weight(i); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>, -1, 1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1, 1, true>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:43: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ utilities.cpp:62:40: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:101: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ utilities.cpp:62:40: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::OuterStride<> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::OuterStride<> > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::OuterStride<> >, 0>’ 50 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:83:34: required from ‘class Eigen::internal::SparseRefBase, 0, Eigen::OuterStride<> > >’ 83 | template class SparseRefBase | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:177:7: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ 177 | class Ref, Options, StrideType> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, 1, -1, true>; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = 1; int BlockCols = -1; BlockType = Eigen::Block, 1, -1, true>]’ 128 | Ref > tmp(other.derived()); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:34: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix; int BlockRows = 1; int BlockCols = -1; BlockType = Eigen::Block, 1, -1, true>]’ 216 | return operator=(other); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::SparseMatrix; int BlockRows = 1; int BlockCols = -1; bool InnerPanel = true]’ 1207 | Base::operator=(other); \ | ~~~~~~~~~~~~~~~^~~~~~~ utilities.cpp:374:51: required from here 374 | A_row.row(i) = nums_row.row(ind(i)); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, 1, -1, true, Eigen::Sparse>’ 17 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:194:85: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, 1, -1, true>; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = 1; int BlockCols = -1; BlockType = Eigen::Block, 1, -1, true>]’ 194 | StorageIndex nnz_k = internal::convert_index(tmp.innerVector(k).nonZeros()); | ~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:34: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix; int BlockRows = 1; int BlockCols = -1; BlockType = Eigen::Block, 1, -1, true>]’ 216 | return operator=(other); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::SparseMatrix; int BlockRows = 1; int BlockCols = -1; bool InnerPanel = true]’ 1207 | Base::operator=(other); \ | ~~~~~~~~~~~~~~~^~~~~~~ utilities.cpp:374:51: required from here 374 | A_row.row(i) = nums_row.row(ind(i)); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::OuterStride<> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::OuterStride<> > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::OuterStride<> >, 0>’ 50 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:83:34: required from ‘class Eigen::internal::SparseRefBase, 0, Eigen::OuterStride<> > >’ 83 | template class SparseRefBase | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:177:7: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ 177 | class Ref, Options, StrideType> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; BlockType = Eigen::Block, -1, 1, true>]’ 128 | Ref > tmp(other.derived()); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:34: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; BlockType = Eigen::Block, -1, 1, true>]’ 216 | return operator=(other); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = true]’ 1207 | Base::operator=(other); \ | ~~~~~~~~~~~~~~~^~~~~~~ utilities.cpp:384:43: required from here 384 | A.col(i) = nums.col(ind(i)); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, -1, 1, true, Eigen::Sparse>’ 17 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:194:85: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; BlockType = Eigen::Block, -1, 1, true>]’ 194 | StorageIndex nnz_k = internal::convert_index(tmp.innerVector(k).nonZeros()); | ~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:34: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; BlockType = Eigen::Block, -1, 1, true>]’ 216 | return operator=(other); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = true]’ 1207 | Base::operator=(other); \ | ~~~~~~~~~~~~~~~^~~~~~~ utilities.cpp:384:43: required from here 384 | A.col(i) = nums.col(ind(i)); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:19: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 325 | mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner); | ~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ utilities.cpp:62:40: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:26: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 325 | mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ utilities.cpp:62:40: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 325 | mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ utilities.cpp:62:40: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 352 | Block A21(mat,k+1,k,rs,1); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ utilities.cpp:62:40: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:354:41: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 354 | Block A20(mat,k+1,0,rs,k); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ utilities.cpp:62:40: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:18: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 358 | temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint(); | ~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ utilities.cpp:62:40: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:80: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 358 | temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint(); | ~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ utilities.cpp:62:40: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:67: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 358 | temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ utilities.cpp:62:40: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 359 | mat.coeffRef(k,k) -= (A10 * temp.head(k)).value(); | ~~~~~^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ utilities.cpp:62:40: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 359 | mat.coeffRef(k,k) -= (A10 * temp.head(k)).value(); | ~~~~~^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ utilities.cpp:62:40: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ utilities.cpp:62:40: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 379 | ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ utilities.cpp:62:40: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:58: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 379 | ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ utilities.cpp:62:40: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 387 | ret = ret && (A21.array()==Scalar(0)).all(); | ~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ utilities.cpp:62:40: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:364:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ 364 | struct evaluator, Options, StrideType> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:45:21: required from ‘Eigen::Index Eigen::BlockImpl::nonZeros() const [with XprType = Eigen::Ref, 0, Eigen::OuterStride<> >; int BlockRows = 1; int BlockCols = -1; Eigen::Index = long int]’ 45 | EvaluatorType matEval(m_matrix); | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:194:97: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, 1, -1, true>; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = 1; int BlockCols = -1; BlockType = Eigen::Block, 1, -1, true>]’ 194 | StorageIndex nnz_k = internal::convert_index(tmp.innerVector(k).nonZeros()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:34: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix; int BlockRows = 1; int BlockCols = -1; BlockType = Eigen::Block, 1, -1, true>]’ 216 | return operator=(other); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::SparseMatrix; int BlockRows = 1; int BlockCols = -1; bool InnerPanel = true]’ 1207 | Base::operator=(other); \ | ~~~~~~~~~~~~~~~^~~~~~~ utilities.cpp:374:51: required from here 374 | A_row.row(i) = nums_row.row(ind(i)); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:364:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ 364 | struct evaluator, Options, StrideType> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:45:21: required from ‘Eigen::Index Eigen::BlockImpl::nonZeros() const [with XprType = Eigen::Ref, 0, Eigen::OuterStride<> >; int BlockRows = -1; int BlockCols = 1; Eigen::Index = long int]’ 45 | EvaluatorType matEval(m_matrix); | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:194:97: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; BlockType = Eigen::Block, -1, 1, true>]’ 194 | StorageIndex nnz_k = internal::convert_index(tmp.innerVector(k).nonZeros()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:34: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; BlockType = Eigen::Block, -1, 1, true>]’ 216 | return operator=(other); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = true]’ 1207 | Base::operator=(other); \ | ~~~~~~~~~~~~~~~^~~~~~~ utilities.cpp:384:43: required from here 384 | A.col(i) = nums.col(ind(i)); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ utilities.cpp:62:40: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ utilities.cpp:62:40: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/ArrayCwiseBinaryOps.h:219:1: required from ‘const Eigen::ArrayBase::CmpEQReturnType Eigen::ArrayBase::operator==(const Scalar&) const [with Derived = Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >; CmpEQReturnType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Scalar = double]’ 145 | return this->OP(Derived::PlainObject::Constant(rows(), cols(), s)); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:58: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 379 | ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ utilities.cpp:62:40: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:277: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 1464 | struct unary_evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from ‘bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ 84 | && SizeAtCompileTime * (int(Evaluator::CoeffReadCost) + int(NumTraits::AddCost)) <= EIGEN_UNROLLING_LIMIT | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 379 | ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ utilities.cpp:62:40: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 1464 | struct unary_evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from ‘bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ 84 | && SizeAtCompileTime * (int(Evaluator::CoeffReadCost) + int(NumTraits::AddCost)) <= EIGEN_UNROLLING_LIMIT | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 379 | ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ utilities.cpp:62:40: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 1464 | struct unary_evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from ‘bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ 84 | && SizeAtCompileTime * (int(Evaluator::CoeffReadCost) + int(NumTraits::AddCost)) <= EIGEN_UNROLLING_LIMIT | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:50: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 387 | ret = ret && (A21.array()==Scalar(0)).all(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ utilities.cpp:62:40: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:167:44: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 359 | mat.coeffRef(k,k) -= (A10 * temp.head(k)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ utilities.cpp:62:40: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, 1, -1, true> > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:549:8: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, true>, Eigen::internal::IteratorBased, double>’ 549 | struct unary_evaluator,BlockRows,BlockCols,true>, IteratorBased> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from ‘struct Eigen::internal::block_evaluator, 1, -1, true, false>’ 1087 | struct block_evaluator | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> >’ 1034 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, 1, -1, true>; _Scalar = double; int _Options = 1; _StorageIndex = int]’ 687 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:217:9: required from ‘void Eigen::Ref, _Options, _StrideType>::construct(const Expression&, Eigen::internal::true_type) [with Expression = Eigen::Block, 1, -1, true>; MatScalar = double; int MatOptions = 1; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ 217 | ::new (obj) TPlainObjectType(expr); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:190:16: required from ‘Eigen::Ref, _Options, _StrideType>::Ref(const Eigen::SparseMatrixBase&) [with Derived = Eigen::Block, 1, -1, true>; MatScalar = double; int MatOptions = 1; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ 190 | construct(expr.derived(), typename Traits::template match::type()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, 1, -1, true>; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = 1; int BlockCols = -1; BlockType = Eigen::Block, 1, -1, true>]’ 128 | Ref > tmp(other.derived()); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:34: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix; int BlockRows = 1; int BlockCols = -1; BlockType = Eigen::Block, 1, -1, true>]’ 216 | return operator=(other); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::SparseMatrix; int BlockRows = 1; int BlockCols = -1; bool InnerPanel = true]’ 1207 | Base::operator=(other); \ | ~~~~~~~~~~~~~~~^~~~~~~ utilities.cpp:374:51: required from here 374 | A_row.row(i) = nums_row.row(ind(i)); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, 1, -1, true>; _Scalar = double; int _Options = 1; _StorageIndex = int]’ 687 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:217:9: required from ‘void Eigen::Ref, _Options, _StrideType>::construct(const Expression&, Eigen::internal::true_type) [with Expression = Eigen::Block, 1, -1, true>; MatScalar = double; int MatOptions = 1; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ 217 | ::new (obj) TPlainObjectType(expr); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:190:16: required from ‘Eigen::Ref, _Options, _StrideType>::Ref(const Eigen::SparseMatrixBase&) [with Derived = Eigen::Block, 1, -1, true>; MatScalar = double; int MatOptions = 1; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ 190 | construct(expr.derived(), typename Traits::template match::type()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, 1, -1, true>; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = 1; int BlockCols = -1; BlockType = Eigen::Block, 1, -1, true>]’ 128 | Ref > tmp(other.derived()); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:34: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix; int BlockRows = 1; int BlockCols = -1; BlockType = Eigen::Block, 1, -1, true>]’ 216 | return operator=(other); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::SparseMatrix; int BlockRows = 1; int BlockCols = -1; bool InnerPanel = true]’ 1207 | Base::operator=(other); \ | ~~~~~~~~~~~~~~~^~~~~~~ utilities.cpp:374:51: required from here 374 | A_row.row(i) = nums_row.row(ind(i)); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, -1, 1, true> > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:549:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>’ 549 | struct unary_evaluator,BlockRows,BlockCols,true>, IteratorBased> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from ‘struct Eigen::internal::block_evaluator, -1, 1, true, false>’ 1087 | struct block_evaluator | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ 1034 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 687 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:217:9: required from ‘void Eigen::Ref, _Options, _StrideType>::construct(const Expression&, Eigen::internal::true_type) [with Expression = Eigen::Block, -1, 1, true>; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ 217 | ::new (obj) TPlainObjectType(expr); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:190:16: required from ‘Eigen::Ref, _Options, _StrideType>::Ref(const Eigen::SparseMatrixBase&) [with Derived = Eigen::Block, -1, 1, true>; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ 190 | construct(expr.derived(), typename Traits::template match::type()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; BlockType = Eigen::Block, -1, 1, true>]’ 128 | Ref > tmp(other.derived()); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:34: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; BlockType = Eigen::Block, -1, 1, true>]’ 216 | return operator=(other); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = true]’ 1207 | Base::operator=(other); \ | ~~~~~~~~~~~~~~~^~~~~~~ utilities.cpp:384:43: required from here 384 | A.col(i) = nums.col(ind(i)); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 687 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:217:9: required from ‘void Eigen::Ref, _Options, _StrideType>::construct(const Expression&, Eigen::internal::true_type) [with Expression = Eigen::Block, -1, 1, true>; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ 217 | ::new (obj) TPlainObjectType(expr); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:190:16: required from ‘Eigen::Ref, _Options, _StrideType>::Ref(const Eigen::SparseMatrixBase&) [with Derived = Eigen::Block, -1, 1, true>; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ 190 | construct(expr.derived(), typename Traits::template match::type()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; BlockType = Eigen::Block, -1, 1, true>]’ 128 | Ref > tmp(other.derived()); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:34: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; BlockType = Eigen::Block, -1, 1, true>]’ 216 | return operator=(other); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = true]’ 1207 | Base::operator=(other); \ | ~~~~~~~~~~~~~~~^~~~~~~ utilities.cpp:384:43: required from here 384 | A.col(i) = nums.col(ind(i)); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, 1, -1, false> > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 1464 | struct unary_evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::ArrayWrapper > >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::ArrayWrapper > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::ArrayWrapper > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::ArrayWrapper > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::ArrayWrapper > >; Derived = Eigen::Block, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ utilities.cpp:461:51: required from here 461 | A.row(i) = A.row(i).array() * B.array(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ utilities.cpp:506:73: required from here 506 | double matrix_dot(Eigen::VectorXd &A, Eigen::VectorXd &B) { return A.dot(B); } | ~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ utilities.cpp:62:40: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 501 | return maxCoeff(index); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:54: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 325 | mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ utilities.cpp:62:40: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ 178 | generic_product_impl::subTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ utilities.cpp:62:40: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ 178 | generic_product_impl::subTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ utilities.cpp:62:40: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ utilities.cpp:62:84: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:587:61: required from ‘void Eigen::LDLT::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::CwiseNullaryOp, Eigen::Matrix >; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 587 | const typename Diagonal::RealReturnType vecD(vectorD()); | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:569:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ utilities.cpp:62:84: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ utilities.cpp:62:84: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ utilities.cpp:62:84: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ utilities.cpp:515:26: required from here 515 | return A.transpose() * B; | ~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ utilities.cpp:515:26: required from here 515 | return A.transpose() * B; | ~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ utilities.cpp:62:40: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 359 | mat.coeffRef(k,k) -= (A10 * temp.head(k)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ utilities.cpp:62:40: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 1, -1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18: required from ‘void Eigen::LDLT::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::CwiseNullaryOp, Eigen::Matrix >; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 599 | dst.row(i) /= vecD(i); | ~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:569:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ utilities.cpp:62:84: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ utilities.cpp:515:26: required from here 515 | return A.transpose() * B; | ~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:333: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 306 | typedef typename Traits::LhsPacket LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ 346 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 347 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 348 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 350 | RhsMapper(actualRhsPtr, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 352 | actualAlpha); | ~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ utilities.cpp:515:26: required from here 515 | return A.transpose() * B; | ~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 310 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ 346 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 347 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 348 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 350 | RhsMapper(actualRhsPtr, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 352 | actualAlpha); | ~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ utilities.cpp:515:26: required from here 515 | return A.transpose() * B; | ~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 314 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ 346 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 347 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 348 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 350 | RhsMapper(actualRhsPtr, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 352 | actualAlpha); | ~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ utilities.cpp:515:26: required from here 515 | return A.transpose() * B; | ~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ utilities.cpp:515:26: required from here 515 | return A.transpose() * B; | ~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ utilities.cpp:62:40: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ utilities.cpp:62:40: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ utilities.cpp:515:26: required from here 515 | return A.transpose() * B; | ~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ utilities.cpp:515:26: required from here 515 | return A.transpose() * B; | ~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ utilities.cpp:62:40: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ utilities.cpp:62:40: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ 296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ utilities.cpp:62:40: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ utilities.cpp:62:40: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ utilities.cpp:62:40: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:330: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:64:27: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 64 | SmallPanelWidth = EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr), | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:581:60: required from ‘void Eigen::LDLT::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::CwiseNullaryOp, Eigen::Matrix >; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 581 | matrixL().template conjugateIf().solveInPlace(dst); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:569:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ utilities.cpp:62:84: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 78 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:581:60: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ utilities.cpp:62:84: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 78 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:581:60: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ utilities.cpp:62:84: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ utilities.cpp:515:26: required from here 515 | return A.transpose() * B; | ~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ utilities.cpp:515:26: required from here 515 | return A.transpose() * B; | ~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 155 | pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:581:60: required from ‘void Eigen::LDLT::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::CwiseNullaryOp, Eigen::Matrix >; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 581 | matrixL().template conjugateIf().solveInPlace(dst); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:569:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ utilities.cpp:62:84: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 162 | pack_lhs(blockA, tri.getSubMapper(startTarget,startBlock), actualPanelWidth, lengthTarget); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:581:60: required from ‘void Eigen::LDLT::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::CwiseNullaryOp, Eigen::Matrix >; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 581 | matrixL().template conjugateIf().solveInPlace(dst); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:569:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ utilities.cpp:62:84: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 164 | gebp_kernel(other.getSubMapper(startTarget,j2), blockA, blockB+actual_kc*j2, lengthTarget, actualPanelWidth, actual_cols, Scalar(-1), | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 165 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:581:60: required from ‘void Eigen::LDLT::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::CwiseNullaryOp, Eigen::Matrix >; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 581 | matrixL().template conjugateIf().solveInPlace(dst); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:569:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ utilities.cpp:62:84: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 6; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 162 | pack_lhs(blockA, tri.getSubMapper(startTarget,startBlock), actualPanelWidth, lengthTarget); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 6]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:606:71: required from ‘void Eigen::LDLT::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::CwiseNullaryOp, Eigen::Matrix >; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 606 | matrixL().transpose().template conjugateIf().solveInPlace(dst); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:569:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ utilities.cpp:62:84: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ utilities.cpp:62:40: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ utilities.cpp:62:40: required from here 62 | invPhi(i, 0) = (Phi(i, 0)).ldlt().solve(Eigen::MatrixXd::Identity(row, row)); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ utilities.cpp:515:26: required from here 515 | return A.transpose() * B; | ~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ g++ -std=gnu++17 -shared -L/usr/lib64/R/lib -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -o abess.so RcppExports.o api.o normalize.o utilities.o -fopenmp -L/usr/lib64/R/lib -lR installing to /builddir/build/BUILD/R-CRAN-abess-0.4.10-build/BUILDROOT/usr/local/lib/R/library/00LOCK-abess/00new/abess/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices converting help for package ‘abess’ finding HTML links ... done abess-package html abess html abesspca html abessrpca html coef.abess html coef.abesspca html coef.abessrpca html deviance.abess html extract.abess html generate.data html generate.matrix html generate.spc.matrix html plot.abess html plot.abesspca html plot.abessrpca html predict.abess html print.abess html print.abesspca html print.abessrpca html trim32 html ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (abess) + test -d abess/src + cd abess/src + rm -f RcppExports.o api.o normalize.o utilities.o abess.so + rm -f /builddir/build/BUILD/R-CRAN-abess-0.4.10-build/BUILDROOT/usr/local/lib/R/library/R.css + find /builddir/build/BUILD/R-CRAN-abess-0.4.10-build/BUILDROOT/usr/local/lib/R/library -type f -exec sed -i s@/builddir/build/BUILD/R-CRAN-abess-0.4.10-build/BUILDROOT@@g '{}' ';' + /usr/bin/find-debuginfo -j2 --strict-build-id -m -i --build-id-seed 0.4.10-1.fc42.copr8929966 --unique-debug-suffix -0.4.10-1.fc42.copr8929966.x86_64 --unique-debug-src-base R-CRAN-abess-0.4.10-1.fc42.copr8929966.x86_64 --run-dwz --dwz-low-mem-die-limit 10000000 --dwz-max-die-limit 110000000 -S debugsourcefiles.list /builddir/build/BUILD/R-CRAN-abess-0.4.10-build/abess find-debuginfo: starting Extracting debug info from 1 files DWARF-compressing 1 files sepdebugcrcfix: Updated 1 CRC32s, 0 CRC32s did match. Creating .debug symlinks for symlinks to ELF files Copying sources found by 'debugedit -l' to /usr/src/debug/R-CRAN-abess-0.4.10-1.fc42.copr8929966.x86_64 find-debuginfo: done + /usr/lib/rpm/check-buildroot + /usr/lib/rpm/redhat/brp-ldconfig + /usr/lib/rpm/brp-compress + /usr/lib/rpm/redhat/brp-strip-lto /usr/bin/strip + /usr/lib/rpm/brp-strip-static-archive /usr/bin/strip + /usr/lib/rpm/redhat/brp-mangle-shebangs + /usr/lib/rpm/brp-remove-la-files + env /usr/lib/rpm/redhat/brp-python-bytecompile '' 1 0 -j2 + /usr/lib/rpm/redhat/brp-python-hardlink + /usr/bin/add-determinism --brp -j2 /builddir/build/BUILD/R-CRAN-abess-0.4.10-build/BUILDROOT Handler jar skipped: jar handler requires $SOURCE_DATE_EPOCH to be set Handler gzip skipped: gzip handler requires $SOURCE_DATE_EPOCH to be set Handler zip skipped: zip handler requires $SOURCE_DATE_EPOCH to be set Scanned 42 directories and 154 files, processed 47 inodes, 0 modified (0 replaced + 0 rewritten), 0 unsupported format, 0 errors Reading /builddir/build/BUILD/R-CRAN-abess-0.4.10-build/SPECPARTS/rpm-debuginfo.specpart Processing files: R-CRAN-abess-0.4.10-1.fc42.copr8929966.x86_64 Provides: R-CRAN-abess = 0.4.10-1.fc42.copr8929966 R-CRAN-abess(x86-64) = 0.4.10-1.fc42.copr8929966 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Requires: libR.so()(64bit) libc.so.6()(64bit) libc.so.6(GLIBC_2.11)(64bit) libc.so.6(GLIBC_2.14)(64bit) libc.so.6(GLIBC_2.2.5)(64bit) libc.so.6(GLIBC_2.3.4)(64bit) libc.so.6(GLIBC_2.4)(64bit) libc.so.6(GLIBC_ABI_DT_RELR)(64bit) libgcc_s.so.1()(64bit) libgcc_s.so.1(GCC_3.0)(64bit) libgcc_s.so.1(GCC_3.3.1)(64bit) libgomp.so.1()(64bit) libgomp.so.1(GOMP_1.0)(64bit) libgomp.so.1(GOMP_4.0)(64bit) libgomp.so.1(GOMP_4.5)(64bit) libgomp.so.1(OMP_1.0)(64bit) libm.so.6()(64bit) libm.so.6(GLIBC_2.2.5)(64bit) libm.so.6(GLIBC_2.29)(64bit) libstdc++.so.6()(64bit) libstdc++.so.6(CXXABI_1.3)(64bit) libstdc++.so.6(CXXABI_1.3.8)(64bit) libstdc++.so.6(CXXABI_1.3.9)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.11)(64bit) libstdc++.so.6(GLIBCXX_3.4.20)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.26)(64bit) libstdc++.so.6(GLIBCXX_3.4.30)(64bit) libstdc++.so.6(GLIBCXX_3.4.32)(64bit) libstdc++.so.6(GLIBCXX_3.4.9)(64bit) rtld(GNU_HASH) Processing files: R-CRAN-abess-debugsource-0.4.10-1.fc42.copr8929966.x86_64 Provides: R-CRAN-abess-debugsource = 0.4.10-1.fc42.copr8929966 R-CRAN-abess-debugsource(x86-64) = 0.4.10-1.fc42.copr8929966 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Processing files: R-CRAN-abess-debuginfo-0.4.10-1.fc42.copr8929966.x86_64 Provides: R-CRAN-abess-debuginfo = 0.4.10-1.fc42.copr8929966 R-CRAN-abess-debuginfo(x86-64) = 0.4.10-1.fc42.copr8929966 debuginfo(build-id) = 4e464139c3078504cb43c9b01f8a58e2e4d29e4e Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Recommends: R-CRAN-abess-debugsource(x86-64) = 0.4.10-1.fc42.copr8929966 Checking for unpackaged file(s): /usr/lib/rpm/check-files /builddir/build/BUILD/R-CRAN-abess-0.4.10-build/BUILDROOT Wrote: /builddir/build/RPMS/R-CRAN-abess-0.4.10-1.fc42.copr8929966.x86_64.rpm Wrote: /builddir/build/RPMS/R-CRAN-abess-debugsource-0.4.10-1.fc42.copr8929966.x86_64.rpm Wrote: /builddir/build/RPMS/R-CRAN-abess-debuginfo-0.4.10-1.fc42.copr8929966.x86_64.rpm Executing(rmbuild): /bin/sh -e /var/tmp/rpm-tmp.Zhypvm + umask 022 + cd /builddir/build/BUILD/R-CRAN-abess-0.4.10-build + test -d /builddir/build/BUILD/R-CRAN-abess-0.4.10-build + /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w /builddir/build/BUILD/R-CRAN-abess-0.4.10-build + rm -rf /builddir/build/BUILD/R-CRAN-abess-0.4.10-build + RPM_EC=0 ++ jobs -p + exit 0 RPM build warnings: %source_date_epoch_from_changelog is set, but %changelog has no entries to take a date from Finish: rpmbuild R-CRAN-abess-0.4.10-1.fc42.copr8929966.src.rpm Finish: build phase for R-CRAN-abess-0.4.10-1.fc42.copr8929966.src.rpm INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-42-x86_64-1745130373.647926/root/var/log/dnf5.log INFO: chroot_scan: creating tarball /var/lib/copr-rpmbuild/results/chroot_scan.tar.gz /bin/tar: Removing leading `/' from member names INFO: Done(/var/lib/copr-rpmbuild/results/R-CRAN-abess-0.4.10-1.fc42.copr8929966.src.rpm) Config(child) 5 minutes 7 seconds INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results INFO: Cleaning up build root ('cleanup_on_success=True') Start: clean chroot INFO: unmounting tmpfs. Finish: clean chroot Finish: run Running RPMResults tool Package info: { "packages": [ { "name": "R-CRAN-abess-debuginfo", "epoch": null, "version": "0.4.10", "release": "1.fc42.copr8929966", "arch": "x86_64" }, { "name": "R-CRAN-abess", "epoch": null, "version": "0.4.10", "release": "1.fc42.copr8929966", "arch": "src" }, { "name": "R-CRAN-abess", "epoch": null, "version": "0.4.10", "release": "1.fc42.copr8929966", "arch": "x86_64" }, { "name": "R-CRAN-abess-debugsource", "epoch": null, "version": "0.4.10", "release": "1.fc42.copr8929966", "arch": "x86_64" } ] } RPMResults finished