%global __brp_check_rpaths %{nil}
%global packname  PRIMAL
%global packver   1.0.2
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          1.0.2
Release:          3%{?dist}%{?buildtag}
Summary:          Parametric Simplex Method for Sparse Learning

License:          GPL (>= 2)
URL:              https://cran.r-project.org/package=%{packname}
Source0:          %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz


BuildRequires:    R-devel
Requires:         R-core
BuildRequires:    R-Matrix 
BuildRequires:    R-CRAN-Rcpp 
BuildRequires:    R-CRAN-RcppEigen 
Requires:         R-Matrix 

%description
Implements a unified framework of parametric simplex method for a variety
of sparse learning problems (e.g., Dantzig selector (for linear
regression), sparse quantile regression, sparse support vector machines,
and compressive sensing) combined with efficient hyper-parameter selection
strategies. The core algorithm is implemented in C++ with Eigen3 support
for portable high performance linear algebra. For more details about
parametric simplex method, see Haotian Pang (2017)
<https://papers.nips.cc/paper/6623-parametric-simplex-method-for-sparse-learning.pdf>.

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


%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

%files
%{rlibdir}/%{packname}