%global __brp_check_rpaths %{nil} %global __requires_exclude ^libmpi %global packname glober %global packver 1.0 %global rlibdir /usr/local/lib/R/library Name: R-CRAN-%{packname} Version: 1.0 Release: 1%{?dist}%{?buildtag} Summary: Estimating Functions with Multivariate B-Splines License: GPL-2 URL: https://cran.r-project.org/package=%{packname} Source0: %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz BuildRequires: R-devel >= 3.5.0 Requires: R-core >= 3.5.0 BuildArch: noarch BuildRequires: R-CRAN-Matrix BuildRequires: R-CRAN-genlasso BuildRequires: R-CRAN-fda BuildRequires: R-parallel BuildRequires: R-CRAN-ggplot2 BuildRequires: R-CRAN-plot3D Requires: R-CRAN-Matrix Requires: R-CRAN-genlasso Requires: R-CRAN-fda Requires: R-parallel Requires: R-CRAN-ggplot2 Requires: R-CRAN-plot3D %description Generalized LassO applied to knot selection in multivariate B-splinE Regression (GLOBER) implements a novel approach for estimating functions in a multivariate nonparametric regression model based on an adaptive knot selection for B-splines using the Generalized Lasso. For further details we refer the reader to the paper Savino, M. E. and Lévy-Leduc, C. (2023), . %prep %setup -q -c -n %{packname} # fix end of executable files find -type f -executable -exec grep -Iq . {} \; -exec sed -i -e '$a\' {} \; # prevent binary stripping [ -d %{packname}/src ] && find %{packname}/src -type f -exec \ sed -i 's@/usr/bin/strip@/usr/bin/true@g' {} \; || true [ -d %{packname}/src ] && find %{packname}/src/Make* -type f -exec \ sed -i 's@-g0@@g' {} \; || true # don't allow local prefix in executable scripts find -type f -executable -exec sed -Ei 's@#!( )*/usr/local/bin@#!/usr/bin@g' {} \; %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 # remove buildroot from installed files find %{buildroot}%{rlibdir} -type f -exec sed -i "s@%{buildroot}@@g" {} \; %files %{rlibdir}/%{packname}