%global __brp_check_rpaths %{nil} %global packname lvnet %global packver 0.3.5 %global rlibdir /usr/local/lib/R/library Name: R-CRAN-%{packname} Version: 0.3.5 Release: 2%{?dist}%{?buildtag} Summary: Latent Variable Network Modeling License: GPL-2 URL: https://cran.r-project.org/package=%{packname} Source0: %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz BuildRequires: R-devel >= 3.2.0 Requires: R-core >= 3.2.0 BuildArch: noarch BuildRequires: R-CRAN-OpenMx BuildRequires: R-CRAN-glasso BuildRequires: R-CRAN-qgraph BuildRequires: R-Matrix BuildRequires: R-CRAN-psych BuildRequires: R-CRAN-mvtnorm BuildRequires: R-parallel BuildRequires: R-CRAN-corpcor BuildRequires: R-CRAN-dplyr BuildRequires: R-methods BuildRequires: R-CRAN-lavaan BuildRequires: R-CRAN-semPlot Requires: R-CRAN-OpenMx Requires: R-CRAN-glasso Requires: R-CRAN-qgraph Requires: R-Matrix Requires: R-CRAN-psych Requires: R-CRAN-mvtnorm Requires: R-parallel Requires: R-CRAN-corpcor Requires: R-CRAN-dplyr Requires: R-methods Requires: R-CRAN-lavaan Requires: R-CRAN-semPlot %description Estimate, fit and compare Structural Equation Models (SEM) and network models (Gaussian Graphical Models; GGM) using OpenMx. Allows for two possible generalizations to include GGMs in SEM: GGMs can be used between latent variables (latent network modeling; LNM) or between residuals (residual network modeling; RNM). For details, see Epskamp, Rhemtulla and Borsboom (2017) . %prep %setup -q -c -n %{packname} find -type f -executable -exec grep -Iq . {} \; -exec sed -i -e '$a\' {} \; [ -d %{packname}/src ] && find %{packname}/src -type f -exec \ sed -i 's@/usr/bin/strip@/usr/bin/true@g' {} \; || true %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}