# -*- 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 riko.kelter bayest 1.5
revision            1
categories-append   math
maintainers         nomaintainer
license             GPL-3
description         Effect size targeted Bayesian two-sample t-tests via Markov chain Monte Carlo in Gaussian mixture models
long_description    Provides an Markov-Chain-Monte-Carlo algorithm for Bayesian t-tests on the effect size. \
                    The underlying Gibbs sampler is based on a two-component Gaussian mixture and approximates \
                    the posterior distributions of the effect size, the difference of means and difference \
                    of standard deviations. A posterior analysis of the effect size via the region \
                    of practical equivalence is provided as well.
checksums           rmd160  4590ae7cd7f77115393b6daa680b6b0beb8095a7 \
                    sha256  4acf4c4b71b5fdcf1e23acd240014deff87a3b0cc7bd7dcdf1cd0e55fc56a0ef \
                    size    11353
supported_archs     noarch
platforms           {darwin any}

depends_lib-append  port:R-MCMCpack

depends_test-append port:R-coda

test.run            yes