# -*- 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 jbolstad hbamr 2.3.2
revision            0
categories-append   math
maintainers         {@barracuda156 gmail.com:vital.had} openmaintainer
license             GPL-3+
description         Hierarchical Bayesian Aldrich–McKelvey scaling via Stan
long_description    Perform hierarchical Bayesian Aldrich–McKelvey scaling using Hamiltonian Monte Carlo via Stan. \
                    Aldrich–McKelvey (AM) scaling is a method for estimating the ideological positions \
                    of survey respondents and political actors on a common scale using positional survey data.
homepage            https://jbolstad.github.io/hbamr
checksums           rmd160  9233d3ea040e86d52dbeef3d091b61b3896d60b4 \
                    sha256  b5d1d7d49e9ff58828346d350fca1dd9faaff96b8a7e36630df3866c48d381e6 \
                    size    671349

depends_lib-append  port:R-BH \
                    port:R-colorspace \
                    port:R-dplyr \
                    port:R-future \
                    port:R-future.apply \
                    port:R-ggplot2 \
                    port:R-loo \
                    port:R-matrixStats \
                    port:R-pbmcapply \
                    port:R-plyr \
                    port:R-progressr \
                    port:R-RColorBrewer \
                    port:R-Rcpp \
                    port:R-RcppEigen \
                    port:R-RcppParallel \
                    port:R-rlang \
                    port:R-rstan \
                    port:R-rstantools \
                    port:R-StanHeaders \
                    port:R-tidyr

depends_test-append port:R-data.table \
                    port:R-knitr \
                    port:R-rmarkdown

test.run            yes