Suggests: emmeans (>= 1.1.2), coin, xtable, parallel, plyr, optimx,
nloptr, knitr, rmarkdown, R.rsp, lattice, latticeExtra,
multcomp, testthat, mlmRev, dplyr, tidyr, dfoptim, Matrix,
psych, ggplot2, MEMSS, effects, carData, ggbeeswarm, nlme,
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).
person(given="Rune", family="Haubo Bojesen Christensen", role=c("ctb")))

cowplot, jtools, ggpubr, ggpol, MASS, glmmTMB, brms, rstanarm

Suggests: emmeans (>= 1.4), coin, xtable, parallel, plyr, optimx,

psychTools, ggplot2, MEMSS, effects, carData, ggbeeswarm, nlme,

cowplot, jtools, ggpubr, ggpol, MASS, glmmTMB, brms, rstanarm,

Depends: R (>= 2.14.0), car, lme4, pbkrtest (>= 0.3-2), reshape2,
Kenward-Rogers approximation of degrees of freedom). afex uses
Collate: 'afex-package.R' 'aov.car.R' 'compare.2.vectors.R' 'mixed.R'

Depends: R (>= 2.14.0), coin, car, lme4, pbkrtest (>= 0.3-2), reshape2,
experiments using ANOVA or mixed-models. ez.glm() and aov.car()
allow convenient calculation of between, within (i.e.,
repeated-measures), or mixed between-within (i.e., split-plot)
ANOVAs for data in the long format (i.e., one observation per
row) wrapping car::Anova() (aggregating more then one
observation per individual and cell of the design), per default
returning a print ready ANOVA table. Function mixed() fits a
mixed model using lme4::lmer() and computes p-values for all
effects in the model using either the Kenward-Rogers
approximation of degrees of freedom (LMM only) or parametric
bootstrap (LMMs and GLMMs). afex uses type 3 sums of squares as
default (imitating commercial statistical software) and sets
the default contrasts to contr.sum. Furthermore,
compare.2.vectors conveniently compares two vectors using