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