From 535035b22352970312523e89245752ee4d8abf8f Mon Sep 17 00:00:00 2001 From: Levi Baber Date: Mon, 19 Nov 2018 20:42:45 -0600 Subject: r-rrpp: new package (#9887) --- var/spack/repos/builtin/packages/r-rrpp/package.py | 29 ++++++++++++++++++++++ 1 file changed, 29 insertions(+) create mode 100644 var/spack/repos/builtin/packages/r-rrpp/package.py (limited to 'var') diff --git a/var/spack/repos/builtin/packages/r-rrpp/package.py b/var/spack/repos/builtin/packages/r-rrpp/package.py new file mode 100644 index 0000000000..ac1bc52fcf --- /dev/null +++ b/var/spack/repos/builtin/packages/r-rrpp/package.py @@ -0,0 +1,29 @@ +# Copyright 2013-2018 Lawrence Livermore National Security, LLC and other +# Spack Project Developers. See the top-level COPYRIGHT file for details. +# +# SPDX-License-Identifier: (Apache-2.0 OR MIT) + + +from spack import * + + +class RRrpp(RPackage): + """Linear model calculations are made for many random versions of data. + + Using residual randomization in a permutation procedure, sums of + squares are calculated over many permutations to generate empirical + probability distributions for evaluating model effects. This method + is described by Collyer, Sekora, & Adams (2015) + . Additionally, coefficients, statistics, + fitted values, and residuals generated over many permutations can be + used for various procedures including pairwise tests, prediction, + classification, and model comparison. This package should provide + most tools one could need for the analysis of high-dimensional data, + especially in ecology and evolutionary biology, but certainly + other fields, as well.""" + + homepage = "https://github.com/mlcollyer/RRPP" + url = "https://cran.r-project.org/src/contrib/RRPP_0.3.0.tar.gz" + list_url = "https://cron.r-project.org/src/contrib/Archive/RRPP" + + version('0.3.0', sha256='34fea6ce7a78e4f38398d3b99585bab11a8171bc8b9a4e461b6d984ed1373739') -- cgit v1.2.3-70-g09d2