%global __brp_check_rpaths %{nil}
%global packname  FWDselect
%global packver   2.1.0
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          2.1.0
Release:          3%{?dist}%{?buildtag}
Summary:          Selecting Variables in Regression Models

License:          MIT + file LICENSE
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
BuildArch:        noarch
BuildRequires:    R-CRAN-cvTools 
BuildRequires:    R-mgcv 
BuildRequires:    R-parallel 
BuildRequires:    R-graphics 
BuildRequires:    R-stats 
Requires:         R-CRAN-cvTools 
Requires:         R-mgcv 
Requires:         R-parallel 
Requires:         R-graphics 
Requires:         R-stats 

%description
A simple method to select the best model or best subset of variables using
different types of data (binary, Gaussian or Poisson) and applying it in
different contexts (parametric or non-parametric).

%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}