# -*- 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 tdenoeux evclass 2.0.2
revision            1
categories-append   math
maintainers         {@barracuda156 gmail.com:vital.had} openmaintainer
license             GPL-3
description         Evidential distance-based classification
long_description    Different evidential classifiers, which provide outputs in the form of Dempster–Shafer mass functions. \
                    The methods are: the evidential K-nearest neighbor rule, the evidential neural network, \
                    radial basis function neural networks, logistic regression, feed-forward neural networks.
checksums           rmd160  80ece1e1f221c09f94fc60af733b2354d6bccaf4 \
                    sha256  f2e23ede12248af0689f1983dde2b76217b9033c595afbb5350a3de59e8b114e \
                    size    258585
supported_archs     noarch
platforms           {darwin any}

depends_lib-append  port:R-FNN \
                    port:R-ibelief \
                    port:R-R.utils

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

test.run            yes
