%global __brp_check_rpaths %{nil} %global packname hJAM %global packver 1.0.0 %global rlibdir /usr/local/lib/R/library Name: R-CRAN-%{packname} Version: 1.0.0 Release: 3%{?dist}%{?buildtag} Summary: Hierarchical Joint Analysis of Marginal Summary Statistics License: MIT + file LICENSE URL: https://cran.r-project.org/package=%{packname} Source0: %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz BuildRequires: R-devel Requires: R-core BuildArch: noarch BuildRequires: R-CRAN-ggplot2 BuildRequires: R-CRAN-ggpubr BuildRequires: R-CRAN-dplyr BuildRequires: R-CRAN-reshape2 Requires: R-CRAN-ggplot2 Requires: R-CRAN-ggpubr Requires: R-CRAN-dplyr Requires: R-CRAN-reshape2 %description Provides functions to implement a hierarchical approach which is designed to perform joint analysis of summary statistics using the framework of Mendelian Randomization or transcriptome analysis. Reference: Lai Jiang, Shujing Xu, Nicholas Mancuso, Paul J. Newcombe, David V. Conti (2020). "A Hierarchical Approach Using Marginal Summary Statistics for Multiple Intermediates in a Mendelian Randomization or Transcriptome Analysis." . %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}