%global __brp_check_rpaths %{nil} %global __requires_exclude ^libmpi %global packname EventPredInCure %global packver 1.0 %global rlibdir /usr/local/lib/R/library Name: R-CRAN-%{packname} Version: 1.0 Release: 1%{?dist}%{?buildtag} Summary: Event Prediction Including Cured Population License: GPL (>= 2) 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-MASS >= 7.3.54 BuildRequires: R-CRAN-plotly >= 4.10.1 BuildRequires: R-utils >= 4.1.2 BuildRequires: R-splines >= 3.5.0 BuildRequires: R-stats >= 3.5.0 BuildRequires: R-CRAN-numDeriv >= 2016.8.1.1 BuildRequires: R-CRAN-survival >= 2.41.3 BuildRequires: R-CRAN-flexsurv >= 2.2.2 BuildRequires: R-CRAN-lubridate >= 1.9.2 BuildRequires: R-CRAN-msm >= 1.7.0 BuildRequires: R-CRAN-rstpm2 >= 1.6.1 BuildRequires: R-CRAN-Matrix >= 1.2.14 BuildRequires: R-CRAN-mvtnorm >= 1.1.3 BuildRequires: R-CRAN-dplyr >= 1.1.0 BuildRequires: R-CRAN-rlang >= 1.0.6 BuildRequires: R-CRAN-perm >= 1.0.0.2 BuildRequires: R-CRAN-erify >= 0.4.0 BuildRequires: R-CRAN-MLEcens >= 0.1.7 BuildRequires: R-CRAN-KMsurv >= 0.1.5 BuildRequires: R-CRAN-tmvtnsim >= 0.1.3 Requires: R-CRAN-MASS >= 7.3.54 Requires: R-CRAN-plotly >= 4.10.1 Requires: R-utils >= 4.1.2 Requires: R-splines >= 3.5.0 Requires: R-stats >= 3.5.0 Requires: R-CRAN-numDeriv >= 2016.8.1.1 Requires: R-CRAN-survival >= 2.41.3 Requires: R-CRAN-flexsurv >= 2.2.2 Requires: R-CRAN-lubridate >= 1.9.2 Requires: R-CRAN-msm >= 1.7.0 Requires: R-CRAN-rstpm2 >= 1.6.1 Requires: R-CRAN-Matrix >= 1.2.14 Requires: R-CRAN-mvtnorm >= 1.1.3 Requires: R-CRAN-dplyr >= 1.1.0 Requires: R-CRAN-rlang >= 1.0.6 Requires: R-CRAN-perm >= 1.0.0.2 Requires: R-CRAN-erify >= 0.4.0 Requires: R-CRAN-MLEcens >= 0.1.7 Requires: R-CRAN-KMsurv >= 0.1.5 Requires: R-CRAN-tmvtnsim >= 0.1.3 %description Predicts enrollment and events assumed enrollment and treatment-specific time-to-event models, and calculates test statistics for time-to-event data with cured population based on the simulation.Methods for prediction event in the existence of cured population are as described in : Chen, Tai-Tsang(2016) . %prep %setup -q -c -n %{packname} # fix end of executable files find -type f -executable -exec grep -Iq . {} \; -exec sed -i -e '$a\' {} \; # prevent binary stripping [ -d %{packname}/src ] && find %{packname}/src -type f -exec \ sed -i 's@/usr/bin/strip@/usr/bin/true@g' {} \; || true [ -d %{packname}/src ] && find %{packname}/src/Make* -type f -exec \ sed -i 's@-g0@@g' {} \; || true # don't allow local prefix in executable scripts find -type f -executable -exec sed -Ei 's@#!( )*/usr/local/bin@#!/usr/bin@g' {} \; %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 # remove buildroot from installed files find %{buildroot}%{rlibdir} -type f -exec sed -i "s@%{buildroot}@@g" {} \; %files %{rlibdir}/%{packname}