%global __brp_check_rpaths %{nil} %global packname LassoSIR %global packver 0.1.1 %global rlibdir /usr/local/lib/R/library Name: R-CRAN-%{packname} Version: 0.1.1 Release: 3%{?dist}%{?buildtag} Summary: Sparsed Sliced Inverse Regression via Lasso License: GPL-3 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-glmnet BuildRequires: R-graphics BuildRequires: R-stats Requires: R-CRAN-glmnet Requires: R-graphics Requires: R-stats %description Estimate the sufficient dimension reduction space using sparsed sliced inverse regression via Lasso (Lasso-SIR) introduced in Lin, Zhao, and Liu (2017) . The Lasso-SIR is consistent and achieve the optimal convergence rate under certain sparsity conditions for the multiple index models. %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}