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

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, ggResidpanel

R (>= 2.14.0), car, lme4, pbkrtest (>= 0.3-2), reshape2,
stringr, coin
Provides convenience functions for analyzing factorial
experiments using ANOVA or mixed-models. Functions ez.glm() and
aov.car() allow convenient specification of pure-between,
pure-within (i.e., repeated-measures), and mixed between-within
(i.e., split-plot) ANOVAs and ANCOVAs with type 2 and type 3
sums of squares 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).
Function nice.anova() produces publication ready ANOVA tables.
Function mixed() fits a mixed model using lme4::lmer() and
computes p-values for all effects in the model (using the
Kenward-Rogers approximation of degrees of freedom). afex uses
type 3 sums of squares as default (imitating commercial
statistical software) and sets the default contrasts to
contr.sum.
'afex-package.R' 'aov.car.R' 'compare.2.vectors.R' 'mixed.R'
'nice.anova.R' 'obk.long-data.R' 'zzz.R'

R (>= 2.14.0), coin, car, lme4, pbkrtest (>= 0.3-2), reshape2,
stringr
Provides convenience functions for analyzing factorial
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
different statistical tests.