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##############################################################################
# Copyright (c) 2013-2017, Lawrence Livermore National Security, LLC.
# Produced at the Lawrence Livermore National Laboratory.
#
# This file is part of Spack.
# Created by Todd Gamblin, tgamblin@llnl.gov, All rights reserved.
# LLNL-CODE-647188
#
# For details, see https://github.com/spack/spack
# Please also see the NOTICE and LICENSE files for our notice and the LGPL.
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License (as
# published by the Free Software Foundation) version 2.1, February 1999.
#
# This program is distributed in the hope that it will be useful, but
# WITHOUT ANY WARRANTY; without even the IMPLIED WARRANTY OF
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the terms and
# conditions of the GNU Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with this program; if not, write to the Free Software
# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
##############################################################################
from spack import *
class RVarselrf(RPackage):
"""Variable selection from random forests using both backwards variable
elimination (for the selection of small sets of non-redundant variables)
and selection based on the importance spectrum (somewhat similar to scree
plots; for the selection of large, potentially highly-correlated variables)
. Main applications in high-dimensional data (e.g., microarray data,
and other genomics and proteomics applications)."""
homepage = "http://ligarto.org/rdiaz/Software/Software.html"
url = "https://cran.rstudio.com/src/contrib/varSelRF_0.7-8.tar.gz"
version('0.7-8', '103c460d0734bd38ae13496c839d3435')
depends_on('r-randomforest', type=('build', 'run'))
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