# -*- coding: utf-8; mode: tcl; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- vim:fenc=utf-8:ft=tcl:et:sw=4:ts=4:sts=4

PortSystem          1.0
PortGroup           R 1.0

R.setup             cran Bayesian-Graphical-Modelling-Lab bgms 0.2.0.0
revision            0
categories-append   math
maintainers         {@barracuda156 macos-powerpc.org:barracuda} openmaintainer
license             GPL-2+
description         Bayesian variable selection for networks of binary and/or ordinal variables
long_description    Bayesian variable selection methods for analyzing the structure \
                    of a Markov random field model for a network of binary and/or ordinal variables.
homepage            https://Bayesian-Graphical-Modelling-Lab.github.io/bgms
checksums           rmd160  13fcdd6603ac0fcd0e75cd057f85a4489eeda3dc \
                    sha256  43d137985febf5956bab707ea4cab53bccb5cd13007496d16454a4af2da257d2 \
                    size    1768455

depends_lib-append  port:R-BH \
                    port:R-dqrng \
                    port:R-lifecycle \
                    port:R-Rcpp \
                    port:R-RcppArmadillo \
                    port:R-RcppParallel \
                    port:R-Rdpack \
                    port:R-S7

compilers.setup     require_fortran

depends_test-append port:R-coda \
                    port:R-covr \
                    port:R-ggplot2 \
                    port:R-knitr \
                    port:R-qgraph \
                    port:R-rmarkdown \
                    port:R-testthat \
                    port:R-withr

test.run            yes
