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authorYifan Zhu <ifanzhu@foxmail.com>2017-10-11 20:48:39 -0500
committerChristoph Junghans <christoph.junghans@gmail.com>2017-10-11 19:48:39 -0600
commit4e8ac1d5252eccece05ecd22bd5513376fe7f8d9 (patch)
treea8e4f16cf12f3c8a8f50ee0cd9daa34069197d50
parent5e41ad6fedcf29a0238c688c83a8539e3c0c87e6 (diff)
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r-matrixstats: created new package (#5682)
-rw-r--r--var/spack/repos/builtin/packages/r-matrixstats/package.py40
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diff --git a/var/spack/repos/builtin/packages/r-matrixstats/package.py b/var/spack/repos/builtin/packages/r-matrixstats/package.py
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+##############################################################################
+# 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 RMatrixstats(RPackage):
+ """High-performing functions operating on rows and columns of matrices,
+ e.g. col / rowMedians(), col / rowRanks(), and col / rowSds(). Functions
+ optimized per data type and for subsetted calculations such that both
+ memory usage and processing time is minimized. There are also optimized
+ vector-based methods, e.g. binMeans(), madDiff() and
+ weightedMedian()."""
+
+ homepage = "https://cran.rstudio.com/web/packages/matrixStats/index.html"
+ url = "https://cran.rstudio.com/src/contrib/matrixStats_0.52.2.tar.gz"
+ list_url = homepage
+
+ version('0.52.2', '41b987d3ae96ee6895875c413adcba3c')