%global __brp_check_rpaths %{nil} %global packname YPBP %global packver 0.0.1 %global rlibdir /usr/local/lib/R/library Name: R-CRAN-%{packname} Version: 0.0.1 Release: 2%{?dist}%{?buildtag} Summary: Yang and Prentice Model with Baseline Distribution Modeled byBernstein Polynomials License: GPL (>= 2) URL: https://cran.r-project.org/package=%{packname} Source0: %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz BuildRequires: R-devel >= 3.4.0 Requires: R-core >= 3.4.0 BuildRequires: R-CRAN-rstan >= 2.18.1 BuildRequires: R-CRAN-StanHeaders >= 2.18.0 BuildRequires: R-CRAN-rstantools >= 2.0.0 BuildRequires: R-CRAN-BH >= 1.66.0 BuildRequires: R-CRAN-RcppEigen >= 0.3.3.3.0 BuildRequires: R-CRAN-Rcpp >= 0.12.0 BuildRequires: R-survival BuildRequires: R-CRAN-Formula BuildRequires: R-MASS BuildRequires: R-methods Requires: R-CRAN-rstan >= 2.18.1 Requires: R-CRAN-rstantools >= 2.0.0 Requires: R-CRAN-Rcpp >= 0.12.0 Requires: R-survival Requires: R-CRAN-Formula Requires: R-MASS Requires: R-methods %description Semiparametric modeling of lifetime data with crossing survival curves via Yang and Prentice model with baseline hazard/odds modeled with Bernstein polynomials. Details about the model can be found in Demarqui et al. (2019) . Model fitting can be carried out via both maximum likelihood and Bayesian approaches. The package also provides point and interval estimation for the crossing survival times. %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 find %{buildroot}%{rlibdir} -type f -exec sed -i "s@%{buildroot}@@g" {} \; %files %{rlibdir}/%{packname}