afex: Analysis of Factorial Experiments (original) (raw)
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 |
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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 [aut, cre], Ben Bolker [aut], Jake Westfall [aut], Frederik Aust [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 |
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 |
In views: | MixedModels |
CRAN checks: | afex results |
Documentation:
Downloads:
Reverse dependencies:
Reverse depends: | AOboot |
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Reverse imports: | BiostatsUHNplus, bruceR, fullfact, jmv, pwr2ppl, r2glmm, statsExpressions, Superpower |
Reverse suggests: | apa, designr, effectsize, ggstatsplot, insight, marginaleffects, papaja, parameters, performance, standardize, tidystats, TOSTER |
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