%global __brp_check_rpaths %{nil}
%global packname  supervisedPRIM
%global packver   2.0.0
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          2.0.0
Release:          3%{?dist}%{?buildtag}
Summary:          Supervised Classification Learning and Prediction using PatientRule Induction Method (PRIM)

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


BuildRequires:    R-devel >= 3.1.1
Requires:         R-core >= 3.1.1
BuildArch:        noarch
BuildRequires:    R-CRAN-prim >= 1.0.16
BuildRequires:    R-stats 
Requires:         R-CRAN-prim >= 1.0.16
Requires:         R-stats 

%description
The Patient Rule Induction Method (PRIM) is typically used for "bump
hunting" data mining to identify regions with abnormally high
concentrations of data with large or small values. This package extends
this methodology so that it can be applied to binary classification
problems and used for prediction.

%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}