%global __brp_check_rpaths %{nil}
%global packname  mdw
%global packver   2020.6-17
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          2020.6.17
Release:          3%{?dist}%{?buildtag}
Summary:          Maximum Diversity Weighting

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


BuildRequires:    R-devel >= 3.5.0
Requires:         R-core >= 3.5.0
BuildArch:        noarch
BuildRequires:    R-CRAN-kyotil 
BuildRequires:    R-MASS 
BuildRequires:    R-Matrix 
Requires:         R-CRAN-kyotil 
Requires:         R-MASS 
Requires:         R-Matrix 

%description
Dimension-reduction methods aim at defining a score that maximizes signal
diversity. Three approaches, tree weight, maximum entropy weights, and
maximum variance weights are provided. These methods are described in He
and Fong (2019) <DOI:10.1002/sim.8212>.

%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}