New packages - R htmlwidgets

var/spack/repos/builtin/packages/r-influencer/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 RInfluencer(Package):
+    """Provides functionality to compute various node centrality measures on
+    networks. Included are functions to compute betweenness centrality (by
+    utilizing Madduri and Bader's SNAP library), implementations of Burt's
+    constraint and effective network size (ENS) metrics, Borgatti's algorithm
+    to identify key players, and Valente's bridging metric. On Unix systems,
+    the betweenness, Key Players, and bridging implementations are parallelized
+    with OpenMP, which may run faster on systems which have OpenMP
+    configured."""
+
+    homepage = "https://github.com/rcc-uchicago/influenceR"
+    url      = "https://cran.r-project.org/src/contrib/influenceR_0.1.0.tar.gz"
+
+    version('0.1.0', '6c8b6decd78c341364b5811fb3050ba5')
+
+    extends('R')
+
+    depends_on('r-igraph', type=nolink)
+    depends_on('r-matrix', type=nolink)
+
+    def install(self, spec, prefix):
+        R('CMD', 'INSTALL', '--library={0}'.format(self.module.r_lib_dir),
+          self.stage.source_path)