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| -rw-r--r-- | var/spack/repos/builtin/packages/r-afex/package.py | 37 |
1 files changed, 37 insertions, 0 deletions
diff --git a/var/spack/repos/builtin/packages/r-afex/package.py b/var/spack/repos/builtin/packages/r-afex/package.py new file mode 100644 index 0000000000..dac1a2dc61 --- /dev/null +++ b/var/spack/repos/builtin/packages/r-afex/package.py @@ -0,0 +1,37 @@ +# Copyright 2013-2021 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 RAfex(RPackage): + """Analysis of Factorial Experiments + + Convenience functions for analyzing factorial experiments using ANOVA or + mixed models. aov_ez(), aov_car(), and aov_4() allow specification of + between, within (i.e., repeated-measures), or mixed (i.e., split-plot) + ANOVAs for data in long format (i.e., one observation per row), + automatically aggregating multiple observations per individual and cell + of the design. mixed() fits mixed models using lme4::lmer() and computes + p-values for all fixed effects using either Kenward-Roger or Satterthwaite + approximation for degrees of freedom (LMM only), parametric bootstrap + (LMMs and GLMMs), or likelihood ratio tests (LMMs and GLMMs). + afex_plot() provides a high-level interface for interaction or one-way + plots using ggplot2, combining raw data and model estimates. afex uses + type 3 sums of squares as default (imitating commercial statistical + software). + """ + + homepage = "https://github.com/singmann/afex" + cran = "afex" + + version('0.28-1', sha256='cfb0b79bfa01b590afc3354a5b2ad3640d2f4974b036d6c256fa8e684bc69c2e') + + depends_on('r@3.5.0:', type=('build', 'run')) + depends_on('r-lme4@1.1-8:', type=('build', 'run')) + depends_on('r-pbkrtest@0.4-1:', type=('build', 'run')) + depends_on('r-lmertest@3.0-0:', type=('build', 'run')) + depends_on('r-car', type=('build', 'run')) + depends_on('r-reshape2', type=('build', 'run')) |