# -*- 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