From d9e057842a7a790b1fc1317ac431832056ed9dd1 Mon Sep 17 00:00:00 2001 From: Yifan Zhu Date: Mon, 2 Apr 2018 16:29:59 -0500 Subject: r-flexclust: new package (#7656) --- .../repos/builtin/packages/r-flexclust/package.py | 44 ++++++++++++++++++++++ 1 file changed, 44 insertions(+) create mode 100644 var/spack/repos/builtin/packages/r-flexclust/package.py (limited to 'var') diff --git a/var/spack/repos/builtin/packages/r-flexclust/package.py b/var/spack/repos/builtin/packages/r-flexclust/package.py new file mode 100644 index 0000000000..9d89e3c1fb --- /dev/null +++ b/var/spack/repos/builtin/packages/r-flexclust/package.py @@ -0,0 +1,44 @@ +############################################################################## +# Copyright (c) 2013-2018, 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/spack/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 RFlexclust(RPackage): + """The main function kcca implements a general framework for k-centroids + cluster analysis supporting arbitrary distance measures and centroid + computation. Further cluster methods include hard competitive learning, + neural gas, and QT clustering. There are numerous visualization methods for + cluster results (neighborhood graphs, convex cluster hulls, barcharts of + centroids, ...), and bootstrap methods for the analysis of cluster + stability.""" + + homepage = "https://cran.r-project.org/package=flexclust" + url = "https://cran.rstudio.com/src/contrib/flexclust_1.3-5.tar.gz" + list_url = "https://cran.rstudio.com/src/contrib/Archive/flexclust" + + version('1.3-5', '90226a0e3a4f256f392a278e9543f8f4') + + depends_on('r-lattice', type=('build', 'run')) + depends_on('r-modeltools', type=('build', 'run')) -- cgit v1.2.3-70-g09d2