%global __brp_check_rpaths %{nil} %global packname TSsmoothing %global packver 0.1.0 %global rlibdir /usr/local/lib/R/library Name: R-CRAN-%{packname} Version: 0.1.0 Release: 1%{?dist}%{?buildtag} Summary: Trend Estimation of Univariate and Bivariate Time Series with Controlled Smoothness License: GPL-3 URL: https://cran.r-project.org/package=%{packname} Source0: %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz BuildRequires: R-devel >= 3.5.0 Requires: R-core >= 3.5.0 BuildArch: noarch BuildRequires: R-MASS >= 7.3.0 BuildRequires: R-CRAN-ggplot2 >= 3.2.0 BuildRequires: R-CRAN-gridExtra >= 2.3 BuildRequires: R-Matrix >= 1.2.0 Requires: R-MASS >= 7.3.0 Requires: R-CRAN-ggplot2 >= 3.2.0 Requires: R-CRAN-gridExtra >= 2.3 Requires: R-Matrix >= 1.2.0 %description It performs the smoothing approach provided by penalized least squares for univariate and bivariate time series, as proposed by Guerrero (2007) and Gerrero et al. (2017). This allows to estimate the time series trend by controlling the amount of resulting (joint) smoothness. --- Guerrero, V.M (2007) . Guerrero, V.M; Islas-Camargo, A. and Ramirez-Ramirez, L.L. (2017) . %prep %setup -q -c -n %{packname} find -type f -executable -exec grep -Iq . {} \; -exec sed -i -e '$a\' {} \; [ -d %{packname}/src ] && find %{packname}/src -type f -exec \ sed -i 's@/usr/bin/strip@/usr/bin/true@g' {} \; || true %build %install mkdir -p %{buildroot}%{rlibdir} %{_bindir}/R CMD INSTALL -l %{buildroot}%{rlibdir} %{packname} test -d %{packname}/src && (cd %{packname}/src; rm -f *.o *.so) rm -f %{buildroot}%{rlibdir}/R.css find %{buildroot}%{rlibdir} -type f -exec sed -i "s@%{buildroot}@@g" {} \; %files %{rlibdir}/%{packname}