%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname  lgspline
%global packver   0.2.0
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          0.2.0
Release:          1%{?dist}%{?buildtag}
Summary:          Lagrangian Multiplier Smoothing Splines for Smooth Function Estimation

License:          MIT + file LICENSE
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
BuildRequires:    R-CRAN-Rcpp >= 1.0.7
BuildRequires:    R-CRAN-RcppArmadillo 
BuildRequires:    R-CRAN-FNN 
BuildRequires:    R-CRAN-RColorBrewer 
BuildRequires:    R-CRAN-plotly 
BuildRequires:    R-CRAN-quadprog 
BuildRequires:    R-methods 
BuildRequires:    R-stats 
Requires:         R-CRAN-Rcpp >= 1.0.7
Requires:         R-CRAN-RcppArmadillo 
Requires:         R-CRAN-FNN 
Requires:         R-CRAN-RColorBrewer 
Requires:         R-CRAN-plotly 
Requires:         R-CRAN-quadprog 
Requires:         R-methods 
Requires:         R-stats 

%description
Implements Lagrangian multiplier smoothing splines for flexible
nonparametric regression and function estimation. Provides tools for
fitting, prediction, and inference using a constrained optimization
approach to enforce smoothness. Supports generalized linear models,
Weibull accelerated failure time (AFT) models, quadratic programming
problems, and customizable arbitrary correlation structures. Options for
fitting in parallel are provided. The method builds upon the framework
described by Ezhov et al. (2018) <doi:10.1515/jag-2017-0029> using
Lagrangian multipliers to fit cubic splines. For more information on
correlation structure estimation, see Searle et al. (2009)
<ISBN:978-0470009598>. For quadratic programming and constrained
optimization in general, see Nocedal & Wright (2006)
<doi:10.1007/978-0-387-40065-5>. For a comprehensive background on
smoothing splines, see Wahba (1990) <doi:10.1137/1.9781611970128> and Wood
(2006) <ISBN:978-1584884743> "Generalized Additive Models: An Introduction
with R".

%prep
%setup -q -c -n %{packname}

# fix end of executable files
find -type f -executable -exec grep -Iq . {} \; -exec sed -i -e '$a\' {} \;
# prevent binary stripping
[ -d %{packname}/src ] && find %{packname}/src -type f -exec \
  sed -i 's@/usr/bin/strip@/usr/bin/true@g' {} \; || true
[ -d %{packname}/src ] && find %{packname}/src/Make* -type f -exec \
  sed -i 's@-g0@@g' {} \; || true
# don't allow local prefix in executable scripts
find -type f -executable -exec sed -Ei 's@#!( )*/usr/local/bin@#!/usr/bin@g' {} \;

%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
# remove buildroot from installed files
find %{buildroot}%{rlibdir} -type f -exec sed -i "s@%{buildroot}@@g" {} \;

%files
%{rlibdir}/%{packname}