afex: 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 between-within (i.e., split-plot) ANOVAs for data in long format (i.e., one observation per row), 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 uses type 3 sums of squares as default (imitating commercial statistical software).

Version:	0.19-1
Depends:	R (≥ 3.1.0), lme4 (≥ 1.1-8), emmeans
Imports:	stringr, coin, pbkrtest (≥ 0.4-1), lmerTest, car, reshape2, stats, methods
Suggests:	xtable, parallel, plyr, optimx, nloptr, knitr, rmarkdown, lattice, latticeExtra, multcomp, testthat, mlmRev, dplyr, tidyr, dfoptim, Matrix, psych, ggplot2
Published:	2018-01-08
Author:	Henrik Singmann [aut, cre], Ben Bolker [aut], Jake Westfall [aut], Frederik Aust [aut], Søren Højsgaard [ctb], John Fox [ctb], Michael A. Lawrence [ctb], Ulf Mertens [ctb], Jonathan Love [ctb]
Maintainer:	Henrik Singmann <singmann+afex at gmail.com>
BugReports:	https://github.com/singmann/afex/issues
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	http://afex.singmann.science/, https://github.com/singmann/afex
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	afex results

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