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# Copyright 2013-2022 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack.package import *
class RVarselrf(RPackage):
"""Variable Selection using Random Forests.
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)."""
cran = "varSelRF"
version('0.7-8', sha256='719487fb560cb4733816bafe4cbc958a132674825e3b9d4f82ce8f2003cd8940')
depends_on('r@2.0.0:', type=('build', 'run'))
depends_on('r-randomforest', type=('build', 'run'))
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