%global __brp_check_rpaths %{nil} %global __requires_exclude ^libmpi %global packname multifear %global packver 0.1.4 %global rlibdir /usr/local/lib/R/library Name: R-CRAN-%{packname} Version: 0.1.4 Release: 1%{?dist}%{?buildtag} Summary: Multiverse Analyses for Conditioning Data License: GPL-3 URL: https://cran.r-project.org/package=%{packname} Source0: %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz BuildRequires: R-devel >= 4.0.0 Requires: R-core >= 4.0.0 BuildArch: noarch BuildRequires: R-CRAN-ez >= 4.4.0 BuildRequires: R-stats >= 3.6.2 BuildRequires: R-CRAN-ggplot2 >= 3.2.1 BuildRequires: R-CRAN-nlme >= 3.1.144 BuildRequires: R-CRAN-bootstrap >= 2019 BuildRequires: R-CRAN-tibble >= 2.1.3 BuildRequires: R-CRAN-reshape2 >= 1.4.3 BuildRequires: R-CRAN-stringr >= 1.4.0 BuildRequires: R-CRAN-forestplot >= 1.10 BuildRequires: R-CRAN-BayesFactor >= 0.9.12.4.2 BuildRequires: R-CRAN-dplyr >= 0.8.4 BuildRequires: R-CRAN-effsize >= 0.7.8 BuildRequires: R-CRAN-broom >= 0.5.5 BuildRequires: R-CRAN-esc >= 0.5.1 BuildRequires: R-CRAN-effectsize >= 0.4.1 BuildRequires: R-CRAN-purrr >= 0.3.3 BuildRequires: R-CRAN-bayestestR >= 0.10.0 BuildRequires: R-CRAN-fastDummies BuildRequires: R-CRAN-rlang Requires: R-CRAN-ez >= 4.4.0 Requires: R-stats >= 3.6.2 Requires: R-CRAN-ggplot2 >= 3.2.1 Requires: R-CRAN-nlme >= 3.1.144 Requires: R-CRAN-bootstrap >= 2019 Requires: R-CRAN-tibble >= 2.1.3 Requires: R-CRAN-reshape2 >= 1.4.3 Requires: R-CRAN-stringr >= 1.4.0 Requires: R-CRAN-forestplot >= 1.10 Requires: R-CRAN-BayesFactor >= 0.9.12.4.2 Requires: R-CRAN-dplyr >= 0.8.4 Requires: R-CRAN-effsize >= 0.7.8 Requires: R-CRAN-broom >= 0.5.5 Requires: R-CRAN-esc >= 0.5.1 Requires: R-CRAN-effectsize >= 0.4.1 Requires: R-CRAN-purrr >= 0.3.3 Requires: R-CRAN-bayestestR >= 0.10.0 Requires: R-CRAN-fastDummies Requires: R-CRAN-rlang %description A suite of functions for performing analyses, based on a multiverse approach, for conditioning data. Specifically, given the appropriate data, the functions are able to perform t-tests, analyses of variance, and mixed models for the provided data and return summary statistics and plots. The function is also able to return for all those tests p-values, confidence intervals, and Bayes factors. The methods are described in Lonsdorf, Gerlicher, Klingelhofer-Jens, & Krypotos (2022) . %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}