%global __brp_check_rpaths %{nil}
%global packname  SparseMDC
%global packver   0.99.5
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          0.99.5
Release:          3%{?dist}%{?buildtag}
Summary:          Implementation of SparseMDC Algorithm

License:          GPL-3
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-doRNG 
BuildRequires:    R-stats 
BuildRequires:    R-CRAN-foreach 
BuildRequires:    R-parallel 
BuildRequires:    R-CRAN-doParallel 
Requires:         R-CRAN-doRNG 
Requires:         R-stats 
Requires:         R-CRAN-foreach 
Requires:         R-parallel 
Requires:         R-CRAN-doParallel 

%description
Implements the algorithm described in Barron, M., and Li, J. (Not yet
published). This algorithm clusters samples from multiple ordered
populations, links the clusters across the conditions and identifies
marker genes for these changes. The package was designed for scRNA-Seq
data but is also applicable to many other data types, just replace cells
with samples and genes with variables. The package also contains functions
for estimating the parameters for SparseMDC as outlined in the paper. We
recommend that users further select their marker genes using the magnitude
of the cluster centers.

%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}