%global __brp_check_rpaths %{nil} %global packname eNchange %global packver 1.0 %global rlibdir /usr/local/lib/R/library Name: R-CRAN-%{packname} Version: 1.0 Release: 3%{?dist}%{?buildtag} Summary: Ensemble Methods for Multiple Change-Point Detection 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 BuildRequires: R-CRAN-Rcpp >= 0.12.12 BuildRequires: R-CRAN-foreach BuildRequires: R-CRAN-iterators BuildRequires: R-CRAN-doParallel BuildRequires: R-methods BuildRequires: R-CRAN-hawkes BuildRequires: R-CRAN-ACDm Requires: R-CRAN-Rcpp >= 0.12.12 Requires: R-CRAN-foreach Requires: R-CRAN-iterators Requires: R-CRAN-doParallel Requires: R-methods Requires: R-CRAN-hawkes Requires: R-CRAN-ACDm %description Implements a segmentation algorithm for multiple change-point detection in univariate time series using the Ensemble Binary Segmentation of Korkas (2020) . %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}