r-rrpp: new package (#9887)

1 files changed, 29 insertions, 0 deletions

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
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+++ b/var/spack/repos/builtin/packages/r-rrpp/package.py
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+# 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)
+       <doi:10.1038/hdy.2014.75>. 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')