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authorlingnanyuan <1297162327@qq.com>2017-09-27 22:48:22 -0500
committerChristoph Junghans <christoph.junghans@gmail.com>2017-09-27 21:48:22 -0600
commitd5fcbab8dea66062a75e35f47974289aeec302e1 (patch)
treea3b7c694058258c38e30c8eacfd935094eba6800
parent97208d98881e2f9d1ed86d8e34df4ec920c9faf7 (diff)
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r-varselrf: new package. (#5515)
* pr-quantities: add version & py-numpy conflict (#5307) * r-varselrf: Create new package.
-rw-r--r--var/spack/repos/builtin/packages/r-varselrf/package.py41
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diff --git a/var/spack/repos/builtin/packages/r-varselrf/package.py b/var/spack/repos/builtin/packages/r-varselrf/package.py
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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/llnl/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'))