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 [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 <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: Downloads: 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, tidystats, TOSTER Linking:Please use the canonical form https://CRAN.R-project.org/package=afex to link to this page.
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