%global __brp_check_rpaths %{nil} %global packname snfa %global packver 0.0.1 %global rlibdir /usr/local/lib/R/library Name: R-CRAN-%{packname} Version: 0.0.1 Release: 3%{?dist}%{?buildtag} Summary: Smooth Non-Parametric Frontier Analysis License: GPL-3 URL: https://cran.r-project.org/package=%{packname} Source0: %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz BuildRequires: R-devel >= 3.5.0 Requires: R-core >= 3.5.0 BuildArch: noarch BuildRequires: R-CRAN-ggplot2 >= 3.1.0 BuildRequires: R-CRAN-prodlim >= 2018.4.18 BuildRequires: R-CRAN-rootSolve >= 1.7 BuildRequires: R-CRAN-quadprog >= 1.5.5 BuildRequires: R-CRAN-abind >= 1.4.5 BuildRequires: R-CRAN-Rdpack >= 0.10.1 Requires: R-CRAN-ggplot2 >= 3.1.0 Requires: R-CRAN-prodlim >= 2018.4.18 Requires: R-CRAN-rootSolve >= 1.7 Requires: R-CRAN-quadprog >= 1.5.5 Requires: R-CRAN-abind >= 1.4.5 Requires: R-CRAN-Rdpack >= 0.10.1 %description Fitting of non-parametric production frontiers for use in efficiency analysis. Methods are provided for both a smooth analogue of Data Envelopment Analysis (DEA) and a non-parametric analogue of Stochastic Frontier Analysis (SFA). Frontiers are constructed for multiple inputs and a single output using constrained kernel smoothing as in Racine et al. (2009), which allow for the imposition of monotonicity and concavity constraints on the estimated frontier. %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}/data %{rlibdir}/%{packname}/DESCRIPTION %{rlibdir}/%{packname}/NAMESPACE %{rlibdir}/%{packname}/R %doc %{rlibdir}/%{packname}/REFERENCES.bib %{rlibdir}/%{packname}/INDEX