32 lines
1.5 KiB
Python
32 lines
1.5 KiB
Python
# Copyright 2013-2020 Lawrence Livermore National Security, LLC and other
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# Spack Project Developers. See the top-level COPYRIGHT file for details.
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#
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# SPDX-License-Identifier: (Apache-2.0 OR MIT)
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from spack import *
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class RRrpp(RPackage):
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"""Linear model calculations are made for many random versions of data.
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Using residual randomization in a permutation procedure, sums of
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squares are calculated over many permutations to generate empirical
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probability distributions for evaluating model effects. This method
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is described by Collyer, Sekora, & Adams (2015)
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<doi:10.1038/hdy.2014.75>. Additionally, coefficients, statistics,
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fitted values, and residuals generated over many permutations can be
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used for various procedures including pairwise tests, prediction,
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classification, and model comparison. This package should provide
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most tools one could need for the analysis of high-dimensional data,
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especially in ecology and evolutionary biology, but certainly
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other fields, as well."""
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homepage = "https://github.com/mlcollyer/RRPP"
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url = "https://cloud.r-project.org/src/contrib/RRPP_0.3.0.tar.gz"
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list_url = "https://cron.r-project.org/src/contrib/Archive/RRPP"
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version('0.4.2', sha256='21a4ebb549d21f66ee9107adf762eee630e478bc740f232f384ba1a6b1cd3bf4')
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version('0.4.1', sha256='d7cd3b089240d7f7e13f65f0259487669a378ffae062aee33d4dc6ab0f86f899')
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version('0.3.0', sha256='34fea6ce7a78e4f38398d3b99585bab11a8171bc8b9a4e461b6d984ed1373739')
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