38 lines
1.7 KiB
Python
38 lines
1.7 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 RAfex(RPackage):
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"""Analysis of Factorial Experiments
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Convenience functions for analyzing factorial experiments using ANOVA or
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mixed models. aov_ez(), aov_car(), and aov_4() allow specification of
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between, within (i.e., repeated-measures), or mixed (i.e., split-plot)
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ANOVAs for data in long format (i.e., one observation per row),
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automatically aggregating multiple observations per individual and cell
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of the design. mixed() fits mixed models using lme4::lmer() and computes
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p-values for all fixed effects using either Kenward-Roger or Satterthwaite
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approximation for degrees of freedom (LMM only), parametric bootstrap
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(LMMs and GLMMs), or likelihood ratio tests (LMMs and GLMMs).
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afex_plot() provides a high-level interface for interaction or one-way
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plots using ggplot2, combining raw data and model estimates. afex uses
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type 3 sums of squares as default (imitating commercial statistical
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software).
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"""
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homepage = "https://github.com/singmann/afex"
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cran = "afex"
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version('0.28-1', sha256='cfb0b79bfa01b590afc3354a5b2ad3640d2f4974b036d6c256fa8e684bc69c2e')
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depends_on('r@3.5.0:', type=('build', 'run'))
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depends_on('r-lme4@1.1-8:', type=('build', 'run'))
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depends_on('r-pbkrtest@0.4-1:', type=('build', 'run'))
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depends_on('r-lmertest@3.0-0:', type=('build', 'run'))
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depends_on('r-car', type=('build', 'run'))
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depends_on('r-reshape2', type=('build', 'run'))
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