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authorYifan Zhu <ifanzhu@foxmail.com>2017-10-30 23:39:29 -0500
committerChristoph Junghans <christoph.junghans@gmail.com>2017-10-30 22:39:29 -0600
commit2a7027e2cc6351ff2955c445486f525537cd53ba (patch)
tree195ee3289cde2751a2dac32eba20271a7b36c538
parentcbb433655cc351ac1eccd434bb65d8e8e5f34b79 (diff)
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r-pcamethods: created new package (#6041)
-rw-r--r--var/spack/repos/builtin/packages/r-pcamethods/package.py48
1 files changed, 48 insertions, 0 deletions
diff --git a/var/spack/repos/builtin/packages/r-pcamethods/package.py b/var/spack/repos/builtin/packages/r-pcamethods/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 RPcamethods(RPackage):
+ """Provides Bayesian PCA, Probabilistic PCA, Nipals PCA, Inverse
+ Non-Linear PCA and the conventional SVD PCA. A cluster based method for
+ missing value estimation is included for comparison. BPCA, PPCA and
+ NipalsPCA may be used to perform PCA on incomplete data as well as for
+ accurate missing value estimation. A set of methods for printing and
+ plotting the results is also provided. All PCA methods make use of the
+ same data structure (pcaRes) to provide a common interface to the PCA
+ results. Initiated at the Max-Planck Institute for Molecular Plant
+ Physiology, Golm, Germany."""
+
+ homepage = "http://bioconductor.org/packages/pcaMethods/"
+ url = "https://git.bioconductor.org/packages/pcaMethods"
+ list_url = homepage
+ version('1.68.0', git='https://git.bioconductor.org/packages/pcaMethods', commit='c8d7c93dcaf7ef728f3d089ae5d55771b320bdab')
+
+ depends_on('r-biobase', type=('build', 'run'))
+ depends_on('r-biocgenerics', type=('build', 'run'))
+ depends_on('r-rcpp', type=('build', 'run'))
+ depends_on('r-mass', type=('build', 'run'))
+ depends_on('r@3.4.0:3.4.9', when='@1.68.0')