afex (0.26-0)

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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).

Maintainer: Henrik Singmann
Author(s): Henrik Singmann [aut, cre] (<>), Ben Bolker [aut], Jake Westfall [aut], Frederik Aust [aut] (<>), Mattan S. Ben-Shachar [aut], Sren Hjsgaard [ctb], John Fox [ctb], Michael A. Lawrence [ctb], Ulf Mertens [ctb], Jonathon Love [ctb], Russell Lenth [ctb], Rune Haubo Bojesen Christensen [ctb]

License: GPL (>= 2)

Uses: car, lme4, lmerTest, pbkrtest, reshape2, MEMSS, Matrix, R.rsp, coin, effects, ggplot2, latticeExtra, lattice, mlmRev, multcomp, nlme, xtable, plyr, MASS, testthat, optimx, dfoptim, nloptr, knitr, dplyr, tidyr, rmarkdown, brms, cowplot, rstanarm, ggbeeswarm, ggpubr, glmmTMB, jtools, carData, emmeans, ggpol, psychTools
Reverse depends: fullfact
Reverse suggests: apa, effectsize, insight, lsmeans, nauf, standardize
Reverse enhances: lsmeans

Released about 1 month ago.

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