From d5fcbab8dea66062a75e35f47974289aeec302e1 Mon Sep 17 00:00:00 2001
From: lingnanyuan <1297162327@qq.com>
Date: Wed, 27 Sep 2017 22:48:22 -0500
Subject: [PATCH] r-varselrf: new package. (#5515)

* pr-quantities: add version & py-numpy conflict (#5307)

* r-varselrf: Create new package.
---
 .../builtin/packages/r-varselrf/package.py    | 41 +++++++++++++++++++
 1 file changed, 41 insertions(+)
 create mode 100644 var/spack/repos/builtin/packages/r-varselrf/package.py

diff --git a/var/spack/repos/builtin/packages/r-varselrf/package.py b/var/spack/repos/builtin/packages/r-varselrf/package.py
new file mode 100644
index 0000000000..06b67cb896
--- /dev/null
+++ b/var/spack/repos/builtin/packages/r-varselrf/package.py
@@ -0,0 +1,41 @@
+##############################################################################
+# 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'))