New package - r-rsnns (#2415)

1 files changed, 50 insertions, 0 deletions

diff --git a/var/spack/repos/builtin/packages/r-rsnns/package.py b/var/spack/repos/builtin/packages/r-rsnns/package.py
new file mode 100644
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+++ b/var/spack/repos/builtin/packages/r-rsnns/package.py
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+##############################################################################
+# 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 RRsnns(Package):
+    """The Stuttgart Neural Network Simulator (SNNS) is a library containing
+    many standard implementations of neural networks. This package wraps the
+    SNNS functionality to make it available from within R. Using the RSNNS
+    low-level interface, all of the algorithmic functionality and flexibility
+    of SNNS can be accessed. Furthermore, the package contains a convenient
+    high-level interface, so that the most common neural network topologies
+    and learning algorithms integrate seamlessly into R."""
+
+    homepage = "http://sci2s.ugr.es/dicits/software/RSNNS"
+    url      = "https://cran.r-project.org/src/contrib/RSNNS_0.4-7.tar.gz"
+    list_url = "https://cran.r-project.org/src/contrib/Archive/RSNNS"
+
+    version('0.4-7', 'ade7736611c456effb5f72e0ce0a1e6f')
+
+    extends('R')
+
+    depends_on('r-rcpp', type=nolink)
+
+    def install(self, spec, prefix):
+        R('CMD', 'INSTALL', '--library={0}'.format(self.module.r_lib_dir),
+          self.stage.source_path)