# -*- 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

# GitHub version lags behind.
R.setup             cran florale multilevelcoda 1.3.0.2
revision            0
categories-append   math
platforms           {darwin any}
maintainers         {@barracuda156 gmail.com:vital.had} openmaintainer
license             GPL-3+
description         Estimate Bayesian multilevel models for compositional data
long_description    {*}${description}
homepage            https://florale.github.io/multilevelcoda
checksums           rmd160  62e95ff03efb19912e52280f09a02f8aff331cf0 \
                    sha256  4a1af603bd24c6990f17bfccc8d2a1f76b7f63651e49554cac8e3b1ef40aa335 \
                    size    4576883
supported_archs     noarch

depends_lib-append  port:R-abind \
                    port:R-bayesplot \
                    port:R-bayestestR \
                    port:R-brms \
                    port:R-bslib \
                    port:R-compositions \
                    port:R-data.table \
                    port:R-doFuture \
                    port:R-DT \
                    port:R-emmeans \
                    port:R-extraoperators \
                    port:R-foreach \
                    port:R-future \
                    port:R-ggplot2 \
                    port:R-hrbrthemes \
                    port:R-insight \
                    port:R-loo \
                    port:R-plotly \
                    port:R-shiny \
                    port:R-shinystan

depends_test-append port:R-cmdstanr \
                    port:R-covr \
                    port:R-knitr \
                    port:R-lme4 \
                    port:R-rmarkdown \
                    port:R-testthat \
                    port:R-withr

test.run            yes