35 lines
1.5 KiB
Python
35 lines
1.5 KiB
Python
# Copyright 2013-2021 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 REmmeans(RPackage):
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"""Estimated Marginal Means, aka Least-Squares Means
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Obtain estimated marginal means (EMMs) for many linear, generalized
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linear, and mixed models. Compute contrasts or linear functions of EMMs,
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trends, and comparisons of slopes. Plots and other displays.
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Least-squares means are discussed, and the term "estimated marginal means"
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is suggested, in Searle, Speed, and Milliken (1980) Population marginal
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means in the linear model: An alternative to least squares means, The
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American Statistician 34(4), 216-221 <doi:10.1080/00031305.1980.10483031>.
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"""
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homepage = "https://github.com/rvlenth/emmeans"
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cran = "emmeans"
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version('1.7.1-1', sha256='6b01eaad1ea0f96245db8563cc77929a3c3b96cd61c24ce1d452308d6e0250de')
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version('1.7.0', sha256='d4b654896197dfda8354b33257380a66ee06117d6177b1ed7f1e42176525e9c5')
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version('1.6.0', sha256='201bb7b008dde94231ed60bcc6a32749442faaab4baeea99ad28b97c951b3c1e')
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depends_on('r@3.5.0:', type=('build', 'run'))
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depends_on('r-estimability@1.3:', type=('build', 'run'))
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depends_on('r-numderiv', type=('build', 'run'))
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depends_on('r-mvtnorm', type=('build', 'run'))
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depends_on('r-xtable@1.8-2:', type=('build', 'run'))
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depends_on('r-plyr', when='@:1.6', type=('build', 'run'))
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