%global __brp_check_rpaths %{nil} %global packname Sstack %global packver 1.0.1 %global rlibdir /usr/local/lib/R/library Name: R-CRAN-%{packname} Version: 1.0.1 Release: 3%{?dist}%{?buildtag} Summary: Bootstrap Stacking of Random Forest Models for HeterogeneousData License: GPL-3 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-randomForest BuildRequires: R-CRAN-foreach BuildRequires: R-CRAN-dplyr BuildRequires: R-parallel BuildRequires: R-CRAN-doParallel Requires: R-CRAN-randomForest Requires: R-CRAN-foreach Requires: R-CRAN-dplyr Requires: R-parallel Requires: R-CRAN-doParallel %description Generates and predicts a set of linearly stacked Random Forest models using bootstrap sampling. Individual datasets may be heterogeneous (not all samples have full sets of features). Contains support for parallelization but the user should register their cores before running. This is an extension of the method found in Matlock (2018) . %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}