%global __brp_check_rpaths %{nil}
%global packname  MajKMeans
%global packver   0.1.0
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          0.1.0
Release:          3%{?dist}%{?buildtag}
Summary:          k-Means Algorithm with a Majorization-Minimization Method

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


BuildRequires:    R-devel
Requires:         R-core
BuildArch:        noarch
BuildRequires:    R-MASS 
Requires:         R-MASS 

%description
A hybrid of the K-means algorithm and a Majorization-Minimization method
to introduce a robust clustering. The reference paper is: Julien Mairal,
(2015) <doi:10.1137/140957639>. The two most important functions in
package 'MajKMeans' are cluster_km() and cluster_MajKm(). cluster_km()
clusters data without Majorization-Minimization and cluster_MajKm()
clusters data with Majorization-Minimization method. Both of these
functions calculate the sum of squares (SS) of clustering.

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

find -type f -executable -exec grep -Iq . {} \; -exec sed -i -e '$a\' {} \;

%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}