%global __brp_check_rpaths %{nil} %global __requires_exclude ^libmpi %global packname cjbart %global packver 0.3.2 %global rlibdir /usr/local/lib/R/library Name: R-CRAN-%{packname} Version: 0.3.2 Release: 1%{?dist}%{?buildtag} Summary: Heterogeneous Effects Analysis of Conjoint Experiments License: Apache License (>= 2.0) URL: https://cran.r-project.org/package=%{packname} Source0: %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz BuildRequires: R-devel >= 3.6.0 Requires: R-core >= 3.6.0 BuildArch: noarch BuildRequires: R-CRAN-randomForestSRC >= 3.2.2 BuildRequires: R-CRAN-BART BuildRequires: R-stats BuildRequires: R-CRAN-rlang BuildRequires: R-CRAN-tidyr BuildRequires: R-CRAN-ggplot2 BuildRequires: R-CRAN-Rdpack Requires: R-CRAN-randomForestSRC >= 3.2.2 Requires: R-CRAN-BART Requires: R-stats Requires: R-CRAN-rlang Requires: R-CRAN-tidyr Requires: R-CRAN-ggplot2 Requires: R-CRAN-Rdpack %description A tool for analyzing conjoint experiments using Bayesian Additive Regression Trees ('BART'), a machine learning method developed by Chipman, George and McCulloch (2010) . This tool focuses specifically on estimating, identifying, and visualizing the heterogeneity within marginal component effects, at the observation- and individual-level. It uses a variable importance measure ('VIMP') with delete-d jackknife variance estimation, following Ishwaran and Lu (2019) , to obtain bias-corrected estimates of which variables drive heterogeneity in the predicted individual-level effects. %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}