New package - r-partykit (#2395)

* New package - r-partykit

* Splitting lines to pass flake8 travis test

1 files changed, 52 insertions, 0 deletions

diff --git a/var/spack/repos/builtin/packages/r-partykit/package.py b/var/spack/repos/builtin/packages/r-partykit/package.py
new file mode 100644
index 0000000000..dff9099c07
--- /dev/null
+++ b/var/spack/repos/builtin/packages/r-partykit/package.py
@@ -0,0 +1,52 @@
+##############################################################################
+# Copyright (c) 2013-2016, 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 LICENSE file 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 RPartykit(Package):
+    """A toolkit with infrastructure for representing, summarizing, and
+    visualizing tree-structured regression and classification models. This
+    unified infrastructure can be used for reading/coercing tree models from
+    different sources ('rpart', 'RWeka', 'PMML') yielding objects that share
+    functionality for print()/plot()/predict() methods. Furthermore, new and
+    improved reimplementations of conditional inference trees (ctree()) and
+    model-based recursive partitioning (mob()) from the 'party' package are
+    provided based on the new infrastructure."""
+
+    homepage = "http://partykit.r-forge.r-project.org/partykit"
+    url      = "https://cran.r-project.org/src/contrib/partykit_1.1-1.tar.gz"
+    list_url = "https://cran.r-project.org/src/contrib/Archive/partykit"
+
+    version('1.1-1', '8fcb31d73ec1b8cd3bcd9789639a9277')
+
+    extends('R')
+
+    depends_on('r-survival', type=nolink)
+    depends_on('r-formula', type=nolink)
+
+    def install(self, spec, prefix):
+        R('CMD', 'INSTALL', '--library={0}'.format(self.module.r_lib_dir),
+          self.stage.source_path)