%global __brp_check_rpaths %{nil} %global packname cyclomort %global packver 1.0.2 %global rlibdir /usr/local/lib/R/library Name: R-CRAN-%{packname} Version: 1.0.2 Release: 1%{?dist}%{?buildtag} Summary: Survival Modeling with a Periodic Hazard Function 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-flexsurv BuildRequires: R-CRAN-lubridate BuildRequires: R-CRAN-magrittr BuildRequires: R-CRAN-mvtnorm BuildRequires: R-CRAN-plyr BuildRequires: R-CRAN-scales BuildRequires: R-stats BuildRequires: R-survival Requires: R-CRAN-flexsurv Requires: R-CRAN-lubridate Requires: R-CRAN-magrittr Requires: R-CRAN-mvtnorm Requires: R-CRAN-plyr Requires: R-CRAN-scales Requires: R-stats Requires: R-survival %description Modeling periodic mortality (or other time-to event) processes from right-censored data. Given observations of a process with a known period (e.g. 365 days, 24 hours), functions determine the number, intensity, timing, and duration of peaks of periods of elevated hazard within a period. The underlying model is a mixed wrapped Cauchy function fitted using maximum likelihoods (details in Gurarie et al. (2020) ). The development of these tools was motivated by the strongly seasonal mortality patterns observed in many wild animal populations, such that the respective periods of higher mortality can be identified as "mortality seasons". %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}