# -*- 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 cran agfh 0.2.1
revision            1
categories-append   math
maintainers         nomaintainer
license             GPL-3+
description         Agnostic Fay–Herriot Model for Small Area Statistics
long_description    Implements the Agnostic Fay–Herriot model, an extension of the traditional small area model. \
                    In place of normal sampling errors, the sampling error distribution is estimated with a Gaussian process \
                    to accommodate a broader class of distributions. This flexibility is most useful in the presence of bounded, \
                    multi-modal or heavily skewed sampling errors.
checksums           rmd160  5faa88fd67f75ce3cad4d0ac5993a2377a7ae489 \
                    sha256  ef23bbfe53a863a8aef66b1e8e5a17e4fa5cacf27d999577a00f12b7607b6a72 \
                    size    137509
supported_archs     noarch
platforms           {darwin any}

depends_lib-append  port:R-ggplot2 \
                    port:R-goftest \
                    port:R-ks \
                    port:R-mvtnorm

depends_test-append port:R-knitr \
                    port:R-rmarkdown \
                    port:R-testthat

test.run            yes