%global __brp_check_rpaths %{nil} %global __requires_exclude ^libmpi %global packname bscm %global packver 1.0.1 %global rlibdir /usr/local/lib/R/library Name: R-CRAN-%{packname} Version: 1.0.1 Release: 1%{?dist}%{?buildtag} Summary: Bayesian Synthetic Control Models License: GPL (>= 3) URL: https://cran.r-project.org/package=%{packname} Source0: %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz BuildRequires: R-devel >= 4.1.0 Requires: R-core >= 4.1.0 BuildRequires: R-CRAN-RcppParallel >= 5.0.1 BuildRequires: R-CRAN-rstantools >= 2.6.0 BuildRequires: R-CRAN-rstan >= 2.32.7 BuildRequires: R-CRAN-StanHeaders >= 2.32.10 BuildRequires: R-CRAN-BH >= 1.66.0 BuildRequires: R-CRAN-RcppEigen >= 0.3.3.3.0 BuildRequires: R-CRAN-Rcpp >= 0.12.0 BuildRequires: R-CRAN-checkmate BuildRequires: R-CRAN-cli BuildRequires: R-CRAN-dplyr BuildRequires: R-CRAN-ggplot2 BuildRequires: R-CRAN-loo BuildRequires: R-methods BuildRequires: R-CRAN-posterior BuildRequires: R-CRAN-progressr BuildRequires: R-CRAN-projpred BuildRequires: R-CRAN-quadprog BuildRequires: R-CRAN-rlang BuildRequires: R-CRAN-tidyr BuildRequires: R-CRAN-rstantools Requires: R-CRAN-RcppParallel >= 5.0.1 Requires: R-CRAN-rstantools >= 2.6.0 Requires: R-CRAN-rstan >= 2.32.7 Requires: R-CRAN-Rcpp >= 0.12.0 Requires: R-CRAN-checkmate Requires: R-CRAN-cli Requires: R-CRAN-dplyr Requires: R-CRAN-ggplot2 Requires: R-CRAN-loo Requires: R-methods Requires: R-CRAN-posterior Requires: R-CRAN-progressr Requires: R-CRAN-projpred Requires: R-CRAN-quadprog Requires: R-CRAN-rlang Requires: R-CRAN-tidyr Requires: R-CRAN-rstantools %description Implements the synthetic control method of Abadie, Diamond, and Hainmueller (2010) within a Bayesian framework, enabling straightforward uncertainty quantification of treatment effects and other quantities of interest. Supports time-varying covariates with potentially time-varying effects, single or multiple treated units, and staggered treatment adoption. Provides methods for model assessment, comparison, and selection based on placebo studies, cross-validation, and posterior predictive checks. Posterior sampling is performed using Markov chain Monte Carlo via Stan. %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}