From 7fb6fbea54f57b2b0ce880b14ebabffc7c01163f Mon Sep 17 00:00:00 2001 From: Yifan Zhu Date: Wed, 1 Nov 2017 18:02:58 -0500 Subject: r-pmcmr: new package (#6085) --- .../repos/builtin/packages/r-pmcmr/package.py | 47 ++++++++++++++++++++++ 1 file changed, 47 insertions(+) create mode 100644 var/spack/repos/builtin/packages/r-pmcmr/package.py (limited to 'var') diff --git a/var/spack/repos/builtin/packages/r-pmcmr/package.py b/var/spack/repos/builtin/packages/r-pmcmr/package.py new file mode 100644 index 0000000000..b1babaaed4 --- /dev/null +++ b/var/spack/repos/builtin/packages/r-pmcmr/package.py @@ -0,0 +1,47 @@ +############################################################################## +# 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 RPmcmr(RPackage): + """The Kruskal and Wallis one-way analysis of variance by ranks or van + der Waerden's normal score test can be employed, if the data do not + meet the assumptions for one-way ANOVA. Provided that significant + differences were detected by the omnibus test, one may be interested + in applying post-hoc tests for pairwise multiple comparisons (such as + Nemenyi's test, Dunn's test, Conover's test, van der Waerden's test). + Similarly, one-way ANOVA with repeated measures that is also referred + to as ANOVA with unreplicated block design can also be conducted via + the Friedman-Test or the Quade-test. The consequent post-hoc pairwise + multiple comparison tests according to Nemenyi, Conover and Quade are + also provided in this package. Finally Durbin's test for a two-way + balanced incomplete block design (BIBD) is also given in this + package.""" + + homepage = "https://cran.r-project.org/package=PMCMR" + url = "https://cran.rstudio.com/src/contrib/PMCMR_4.1.tar.gz" + list_url = "https://cran.rstudio.com/src/contrib/Archive/PMCMR" + + version('4.1', 'b9c0c4e4cb4f73ae36f45a47abae986a') -- cgit v1.2.3-60-g2f50