%global __brp_check_rpaths %{nil}
%global packname  fasterElasticNet
%global packver   1.1.2
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          1.1.2
Release:          3%{?dist}%{?buildtag}
Summary:          An Amazing Fast Way to Fit Elastic Net

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


BuildRequires:    R-devel >= 3.1.0
Requires:         R-core >= 3.1.0
BuildRequires:    R-CRAN-Rcpp >= 0.12.16
BuildRequires:    R-CRAN-RcppArmadillo 
Requires:         R-CRAN-Rcpp >= 0.12.16

%description
Fit Elastic Net, Lasso, and Ridge regression and do cross-validation in a
fast way. We build the algorithm based on Least Angle Regression by
Bradley Efron, Trevor Hastie, Iain Johnstone, etc.
(2004)(<doi:10.1214/009053604000000067 >) and some algorithms like Givens
rotation and Forward/Back Substitution. In this way, many matrices to be
computed are retained as triangular matrices which can eventually speed up
the computation. The fitting algorithm for Elastic Net is written in C++
using Armadillo linear algebra library.

%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}