# -*- 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 glasso 1.11
revision            2
categories-append   math
maintainers         {@barracuda156 gmail.com:vital.had} openmaintainer
license             GPL-2
description         Graphical lasso: estimation of gaussian graphical models
long_description    Estimation of a sparse inverse covariance matrix using a lasso (L1) penalty. \
                    Facilities are provided for estimates along a path of values for the regularization parameter.
checksums           rmd160  125d01aa3eaea2f6802db4cc8db4be388b10e9c8 \
                    sha256  4c37844b26f55985184a734e16b8fe880b192e3d2763614b0ab3f99b4530e30a \
                    size    8662

compilers.setup     require_fortran