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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:1.5-1
Depends:R (≥ 3.5.0),lme4 (≥ 1.1-8)
Imports:pbkrtest (≥ 0.4-1),lmerTest (≥ 3.0-0),car,reshape2, stats, methods, utils,reformulas,rlang
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,MASS,glmmTMB,brms,rstanarm,statmod,performance (≥ 0.7.2),see (≥ 0.6.4),ez,ggResidpanel, grid,vdiffr,GLMMadaptive,ggthemes
Published:2025-12-14
DOI:10.32614/CRAN.package.afex
Author:Henrik SingmannORCID iD [aut, cre], Ben Bolker [aut], Jake Westfall [aut], Frederik AustORCID 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.html ,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_1.5-1.tar.gz
Windows binaries: r-devel:afex_1.5-0.zip, r-release:afex_1.5-0.zip, r-oldrel:afex_1.5-1.zip
macOS binaries: r-release (arm64):afex_1.5-1.tgz, r-oldrel (arm64):afex_1.5-1.tgz, r-release (x86_64):afex_1.5-1.tgz, r-oldrel (x86_64):afex_1.5-1.tgz
Old sources: afex archive

Reverse dependencies:

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

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