Depends: R (>= 2.14.0), car, lme4, pbkrtest, reshape2, stringr
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
Collate: 'afex-package.R' 'aov.car.R' 'mixed.R' 'nice.anova.R'

R.rsp, lattice, latticeExtra, multcomp, testthat, mlmRev,
dplyr, tidyr, dfoptim, Matrix, psych, ggplot2, MEMSS, effects,

Suggests: coin, xtable, parallel, plyr, optimx, nloptr, knitr,
rmarkdown, R.rsp, lattice, latticeExtra, multcomp, testthat,
mlmRev, dplyr, tidyr, dfoptim, Matrix, psych, ggplot2, MEMSS,
Imports: pbkrtest (>= 0.4-1), lmerTest (>= 3.0-0), car, reshape2,
Description: 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
between-within (i.e., split-plot) ANOVAs for data in long format (i.e.,
one observation per row), 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 uses type 3 sums of squares as default (imitating
person(given="Rune", family="Haubo Bojesen Christensen", role=c("ctb"))