From 38171114548f8fdeb51e9780404e81400db631ac Mon Sep 17 00:00:00 2001 From: lingnanyuan <1297162327@qq.com> Date: Thu, 21 Sep 2017 15:36:51 -0500 Subject: r-mpm: new package. (#5416) --- var/spack/repos/builtin/packages/r-mpm/package.py | 38 +++++++++++++++++++++++ 1 file changed, 38 insertions(+) create mode 100644 var/spack/repos/builtin/packages/r-mpm/package.py (limited to 'var') diff --git a/var/spack/repos/builtin/packages/r-mpm/package.py b/var/spack/repos/builtin/packages/r-mpm/package.py new file mode 100644 index 0000000000..e834568ddc --- /dev/null +++ b/var/spack/repos/builtin/packages/r-mpm/package.py @@ -0,0 +1,38 @@ +############################################################################## +# 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 RMpm(RPackage): + """Exploratory graphical analysis of multivariate data, specifically + gene expression data with different projection methods: principal + component analysis, correspondence analysis, spectral map analysis.""" + + homepage = "https://cran.rstudio.com/web/packages/mpm/index.html" + url = "https://cran.rstudio.com/src/contrib/mpm_1.0-22.tar.gz" + list_url = homepage + version('1.0-22', '91885c421cafd89ce8893ccf827165a2') + + depends_on('r-kernsmooth', type=('build', 'run')) -- cgit v1.2.3-70-g09d2