%global __brp_check_rpaths %{nil}
%global packname  rawKS
%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:          Easily Get True-Positive Rate and False-Positive Rate and KSStatistic

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


BuildRequires:    R-devel >= 2.10
Requires:         R-core >= 2.10
BuildArch:        noarch
BuildRequires:    R-CRAN-dplyr 
BuildRequires:    R-CRAN-magrittr 
BuildRequires:    R-CRAN-ROCR 
BuildRequires:    R-CRAN-ggplot2 
BuildRequires:    R-CRAN-tidyr 
Requires:         R-CRAN-dplyr 
Requires:         R-CRAN-magrittr 
Requires:         R-CRAN-ROCR 
Requires:         R-CRAN-ggplot2 
Requires:         R-CRAN-tidyr 

%description
The Kolmogorov-Smirnov (K-S) statistic is a standard method to measure the
model strength for credit risk scoring models. This package calculates the
K–S statistic and plots the true-positive rate and false-positive rate to
measure the model strength. This package was written with the credit
marketer, who uses risk models in conjunction with his campaigns. The
users could read more details from Thrasher (1992)
<doi:10.1002/dir.4000060408> and 'pyks' <https://pypi.org/project/pyks/>.

%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}