%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname  gamlr
%global packver   1.13-8
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          1.13.8
Release:          1%{?dist}%{?buildtag}
Summary:          Gamma Lasso Regression

License:          GPL-3
URL:              https://cran.r-project.org/package=%{packname}
Source0:          %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz


BuildRequires:    R-devel >= 2.15
Requires:         R-core >= 2.15
BuildRequires:    R-CRAN-Matrix 
BuildRequires:    R-methods 
BuildRequires:    R-graphics 
BuildRequires:    R-stats 
Requires:         R-CRAN-Matrix 
Requires:         R-methods 
Requires:         R-graphics 
Requires:         R-stats 

%description
The gamma lasso algorithm provides regularization paths corresponding to a
range of non-convex cost functions between L0 and L1 norms.  As much as
possible, usage for this package is analogous to that for the glmnet
package (which does the same thing for penalization between L1 and L2
norms).  For details see: Taddy (2017 JCGS), 'One-Step Estimator Paths for
Concave Regularization', <arXiv:1308.5623>.

%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}