%global __brp_check_rpaths %{nil} %global packname mcca %global packver 0.7.0 %global rlibdir /usr/local/lib/R/library Name: R-CRAN-%{packname} Version: 0.7.0 Release: 1%{?dist}%{?buildtag} Summary: Multi-Category Classification Accuracy License: GPL 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-nnet BuildRequires: R-rpart BuildRequires: R-CRAN-e1071 BuildRequires: R-MASS BuildRequires: R-stats BuildRequires: R-CRAN-pROC BuildRequires: R-CRAN-caret BuildRequires: R-CRAN-rgl Requires: R-nnet Requires: R-rpart Requires: R-CRAN-e1071 Requires: R-MASS Requires: R-stats Requires: R-CRAN-pROC Requires: R-CRAN-caret Requires: R-CRAN-rgl %description It contains six common multi-category classification accuracy evaluation measures. All of these measures could be found in Li and Ming (2019) . Specifically, Hypervolume Under Manifold (HUM), described in Li and Fine (2008) . Correct Classification Percentage (CCP), Integrated Discrimination Improvement (IDI), Net Reclassification Improvement (NRI), R-Squared Value (RSQ), described in Li, Jiang and Fine (2013) . Polytomous Discrimination Index (PDI), described in Van Calster et al. (2012) . Li et al. (2018) . We described all these above measures and our mcca package in Li, Gao and D'Agostino (2019) . %prep %setup -q -c -n %{packname} find -type f -executable -exec grep -Iq . {} \; -exec sed -i -e '$a\' {} \; [ -d %{packname}/src ] && find %{packname}/src -type f -exec \ sed -i 's@/usr/bin/strip@/usr/bin/true@g' {} \; || true %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 find %{buildroot}%{rlibdir} -type f -exec sed -i "s@%{buildroot}@@g" {} \; %files %{rlibdir}/%{packname}