%global packname CausalKinetiX %global packver 0.2.1 %global rlibdir /usr/local/lib/R/library Name: R-CRAN-%{packname} Version: 0.2.1 Release: 3%{?dist} Summary: Learning Stable Structures in Kinetic Systems License: GPL-3 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-sundialr >= 0.1.3 BuildRequires: R-CRAN-fda BuildRequires: R-CRAN-cvTools BuildRequires: R-CRAN-quadprog BuildRequires: R-CRAN-randomForest BuildRequires: R-CRAN-deSolve BuildRequires: R-stats BuildRequires: R-graphics BuildRequires: R-CRAN-pspline BuildRequires: R-utils BuildRequires: R-CRAN-glmnet Requires: R-CRAN-sundialr >= 0.1.3 Requires: R-CRAN-fda Requires: R-CRAN-cvTools Requires: R-CRAN-quadprog Requires: R-CRAN-randomForest Requires: R-CRAN-deSolve Requires: R-stats Requires: R-graphics Requires: R-CRAN-pspline Requires: R-utils Requires: R-CRAN-glmnet %description Implementation of 'CausalKinetiX', a framework for learning stable structures in kinetic systems. Apart from the main functions CausalKinetiX() and CausalKinetiX.modelranking() it includes functions to generate data from three simulations models, which can be used to benchmark structure learning methods for linear ordinary differential equation models. A detailed description of the underlying methods as well as details on the examples are given in Pfister, Bauer and Peters (2018) . %prep %setup -q -c -n %{packname} %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 %dir %{rlibdir}/%{packname} %doc %{rlibdir}/%{packname}/html %{rlibdir}/%{packname}/Meta %{rlibdir}/%{packname}/help %{rlibdir}/%{packname}/DESCRIPTION %{rlibdir}/%{packname}/NAMESPACE %{rlibdir}/%{packname}/R %{rlibdir}/%{packname}/INDEX