%global packname  rbin
%global packver   0.2.0
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          0.2.0
Release:          2%{?dist}
Summary:          Tools for Binning Data

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


BuildRequires:    R-devel >= 3.3
Requires:         R-core >= 3.3
BuildArch:        noarch
BuildRequires:    R-CRAN-data.table 
BuildRequires:    R-CRAN-ggplot2 
BuildRequires:    R-stats 
BuildRequires:    R-utils 
Requires:         R-CRAN-data.table 
Requires:         R-CRAN-ggplot2 
Requires:         R-stats 
Requires:         R-utils 

%description
Manually bin data using weight of evidence and information value. Includes
other binning methods such as equal length, quantile and winsorized.
Options for combining levels of categorical data are also available. Dummy
variables can be generated based on the bins created using any of the
available binning methods. References: Siddiqi, N. (2006)
<doi:10.1002/9781119201731.biblio>.

%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
%dir %{rlibdir}/%{packname}
%doc %{rlibdir}/%{packname}/html
%{rlibdir}/%{packname}/Meta
%{rlibdir}/%{packname}/help
%{rlibdir}/%{packname}/data
%{rlibdir}/%{packname}/DESCRIPTION
%license %{rlibdir}/%{packname}/LICENSE
%{rlibdir}/%{packname}/NAMESPACE
%doc %{rlibdir}/%{packname}/NEWS.md
%{rlibdir}/%{packname}/R
%doc %{rlibdir}/%{packname}/doc
%doc %{rlibdir}/%{packname}/rstudio
%{rlibdir}/%{packname}/INDEX