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 (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).

Version: 1.4-1
Depends: R (≥ 3.5.0), lme4 (≥ 1.1-8)
Imports: pbkrtest (≥ 0.4-1), lmerTest (≥ 3.0-0), car, reshape2, stats, methods, utils
Suggests: emmeans (≥ 1.4), coin, xtable, parallel, plyr, optimx, nloptr, knitr, rmarkdown, R.rsp, lattice, latticeExtra, multcomp, testthat, mlmRev, dplyr, tidyr, dfoptim, Matrix, psychTools, ggplot2, MEMSS, effects, carData, ggbeeswarm, nlme, cowplot, jtools, ggpubr, ggpol, MASS, glmmTMB, brms, rstanarm, statmod, performance (≥ 0.7.2), see (≥ 0.6.4), ez, ggResidpanel, grid, vdiffr
Published: 2024-09-01
DOI: 10.32614/CRAN.package.afex
Author: Henrik Singmann ORCID iD [aut, cre], Ben Bolker [aut], Jake Westfall [aut], Frederik Aust ORCID iD [aut], Mattan S. Ben-Shachar [aut], Søren Højsgaard [ctb], John Fox [ctb], Michael A. Lawrence [ctb], Ulf Mertens [ctb], Jonathon Love [ctb], Russell Lenth [ctb], Rune Haubo Bojesen Christensen [ctb]
Maintainer: Henrik Singmann <singmann at gmail.com>
BugReports: https://github.com/singmann/afex/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://afex.singmann.science/, https://github.com/singmann/afex
NeedsCompilation: no
Materials: README NEWS
In views: MixedModels
CRAN checks: afex results

Documentation:

Reference manual: afex.pdf
Vignettes: Analysis of Accuracy Data using ANOVA and binomial GLMMs (source, R code)
ANOVA and Post-Hoc Contrasts: Reanalysis of Singmann and Klauer (2011) (source, R code)
Mixed Model Example Analysis: Reanalysis of Freeman et al. (2010) (source, R code)
afex_plot: Publication Ready Plots for Experimental Designs (source, R code)
afex_plot: Supported Models (source, R code)
Testing the Assumptions of ANOVAs (source, R code)
An Introduction to Mixed Models for Experimental Psychology (source)

Downloads:

Package source: afex_1.4-1.tar.gz
Windows binaries: r-devel: afex_1.4-1.zip, r-release: afex_1.4-1.zip, r-oldrel: afex_1.4-1.zip
macOS binaries: r-devel (arm64): afex_1.4-1.tgz, r-release (arm64): afex_1.4-1.tgz, r-oldrel (arm64): afex_1.4-1.tgz, r-devel (x86_64): afex_1.4-1.tgz, r-release (x86_64): afex_1.4-1.tgz, r-oldrel (x86_64): afex_1.4-1.tgz
Old sources: afex archive

Reverse dependencies:

Reverse depends: AOboot
Reverse imports: BiostatsUHNplus, bruceR, fullfact, jmv, pwr2ppl, r2glmm, statsExpressions, Superpower
Reverse suggests: apa, designr, effectsize, ggeffects, ggstatsplot, insight, marginaleffects, papaja, parameters, performance, prmisc, standardize, tidystats, TOSTER

Linking:

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