30 lines
1.1 KiB
Python
30 lines
1.1 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 RLmertest(RPackage):
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"""Tests in Linear Mixed Effects Models
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Provides p-values in type I, II or III anova and summary tables for lmer
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model fits (cf. lme4) via Satterthwaite's degrees of freedom method. A
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Kenward-Roger method is also available via the pbkrtest package. Model
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selection methods include step, drop1 and anova-like tables for random
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effects (ranova). Methods for Least-Square means (LS-means) and tests of
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linear contrasts of fixed effects are also available.
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"""
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homepage = "https://github.com/runehaubo/lmerTestR"
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cran = "lmerTest"
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version('3.1-3', sha256='35aa75e9f5f2871398ff56a482b013e6828135ef04916ced7d1d7e35257ea8fd')
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depends_on('r@3.2.5:', type=('build', 'run'))
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depends_on('r-lme4@1.1-10:', type=('build', 'run'))
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depends_on('r-numderiv', type=('build', 'run'))
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depends_on('r-mass', type=('build', 'run'))
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depends_on('r-ggplot2', type=('build', 'run'))
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