%global __brp_check_rpaths %{nil}
%global packname  MLPUGS
%global packver   0.2.0
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          0.2.0
Release:          3%{?dist}%{?buildtag}
Summary:          Multi-Label Prediction Using Gibbs Sampling (and ClassifierChains)

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


BuildRequires:    R-devel >= 3.1.2
Requires:         R-core >= 3.1.2
BuildArch:        noarch

%description
An implementation of classifier chains (CC's) for multi-label prediction.
Users can employ an external package (e.g. 'randomForest', 'C50'), or
supply their own. The package can train a single set of CC's or train an
ensemble of CC's -- in parallel if running in a multi-core environment.
New observations are classified using a Gibbs sampler since each
unobserved label is conditioned on the others. The package includes
methods for evaluating the predictions for accuracy and aggregating across
iterations and models to produce binary or probabilistic classifications.

%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}