%global __brp_check_rpaths %{nil}
%global packname  multiselect
%global packver   0.1.0
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          0.1.0
Release:          3%{?dist}%{?buildtag}
Summary:          Selecting Combinations of Predictors by Leveraging Multiple AUCsfor an Ordered Multilevel Outcome

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


BuildRequires:    R-devel
Requires:         R-core
BuildArch:        noarch
BuildRequires:    R-CRAN-Hmisc 
Requires:         R-CRAN-Hmisc 

%description
Uses multiple AUCs to select a combination of predictors when the outcome
has multiple (ordered) levels and the focus is discriminating one
particular level from the others. This method is most naturally applied to
settings where the outcome has three levels. (Meisner, A, Parikh, CR, and
Kerr, KF (2017) <http://biostats.bepress.com/uwbiostat/paper423/>.)

%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}