%global __brp_check_rpaths %{nil} %global __requires_exclude ^libmpi %global packname eDNAjoint %global packver 0.2 %global rlibdir /usr/local/lib/R/library Name: R-CRAN-%{packname} Version: 0.2 Release: 1%{?dist}%{?buildtag} Summary: Joint Modeling of Traditional and Environmental DNA Survey Data in a Bayesian Framework License: GPL-3 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-RcppParallel >= 5.0.1 BuildRequires: R-CRAN-rstantools >= 2.3.1.1 BuildRequires: R-CRAN-rstan >= 2.26.23 BuildRequires: R-CRAN-StanHeaders >= 2.26.22 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-CRAN-bayestestR BuildRequires: R-CRAN-dplyr BuildRequires: R-CRAN-ggplot2 BuildRequires: R-CRAN-lifecycle BuildRequires: R-CRAN-loo BuildRequires: R-CRAN-magrittr BuildRequires: R-methods BuildRequires: R-CRAN-rlist BuildRequires: R-CRAN-tidyr BuildRequires: R-CRAN-scales BuildRequires: R-CRAN-rstantools Requires: R-CRAN-RcppParallel >= 5.0.1 Requires: R-CRAN-rstantools >= 2.3.1.1 Requires: R-CRAN-rstan >= 2.26.23 Requires: R-CRAN-Rcpp >= 0.12.0 Requires: R-CRAN-bayestestR Requires: R-CRAN-dplyr Requires: R-CRAN-ggplot2 Requires: R-CRAN-lifecycle Requires: R-CRAN-loo Requires: R-CRAN-magrittr Requires: R-methods Requires: R-CRAN-rlist Requires: R-CRAN-tidyr Requires: R-CRAN-scales Requires: R-CRAN-rstantools %description Models integrate environmental DNA (eDNA) detection data and traditional survey data to jointly estimate species catch rate (see package vignette: ). Models can be used with count data via traditional survey methods (i.e., trapping, electrofishing, visual) and replicated eDNA detection/nondetection data via polymerase chain reaction (i.e., PCR or qPCR) from multiple survey locations. Estimated parameters include probability of a false positive eDNA detection, a site-level covariates that scale the sensitivity of eDNA surveys relative to traditional surveys, and catchability coefficients for traditional gear types. Models are implemented with a Bayesian framework (Markov chain Monte Carlo) using the 'Stan' probabilistic programming language. %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}