# -*- 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 zeemkr ncpen 1.0.0
revision            1
categories-append   math
maintainers         nomaintainer
license             GPL-3+
description         Unified algorithm for non-convex penalized estimation for generalized linear models
long_description    An efficient unified nonconvex penalized estimation algorithm for Gaussian (linear), \
                    binomial logit (logistic), Poisson, multinomial logit and Cox proportional hazard regression models. \
                    The unified algorithm is implemented based on the convex concave procedure and the algorithm \
                    can be applied to most of the existing nonconvex penalties. The algorithm also supports convex penalty – \
                    least absolute shrinkage and selection operator (LASSO).
checksums           rmd160  83740cfbe8aa3813fc5c2ca7a6755a67c2769842 \
                    sha256  4ae717497cfe8f67f677ca29e701f6588d49c1ad4cbd904cd025bba8f362846e \
                    size    46694

depends_lib-append  port:R-Rcpp \
                    port:R-RcppArmadillo

compilers.setup     require_fortran

test.run            yes