ascii, xtable, parallel, plyr, optimx, nloptr, knitr,
lattice, multcomp, testthat, mlmRev
stringr, coin, Matrix, pbkrtest (>= 0.3-6), car, stats, utils,
methods
Provides 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), potentially 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
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 commercial statistical software).
c(person(given="Henrik", family="Singmann", role=c("aut", "cre"),
email="singmann+afex@gmail.com"), person(given="Ben", family="Bolker", role=c("aut")),
person(given="Jake", family="Westfall", role=c("aut")), person(given="Søren",
family="Højsgaard", role=c("ctb")), person(given="John", family="Fox", role=c("ctb")),
person(given="Michael A.", family="Lawrence", role=c("ctb")), person(given="Ulf",
family="Mertens", role=c("ctb")) )

ascii, xtable, parallel, plyr, optimx, nloptr, knitr,
lattice, multcomp, testthat, mlmRev, dplyr
Provides 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), potentially 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 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 commercial statistical software).
c(person(given="Henrik", family="Singmann", role=c("aut", "cre"), email="singmann+afex@gmail.com"),
person(given="Ben", family="Bolker", role=c("aut")), person(given="Jake", family="Westfall", role=c("aut")),
person(given="Søren", family="Højsgaard", role=c("ctb")), person(given="John", family="Fox", role=c("ctb")),
person(given="Michael A.", family="Lawrence", role=c("ctb")), person(given="Ulf", family="Mertens",
role=c("ctb")), person(given="Frederik", family="Aust", role=c("ctb")) )
Henrik Singmann [aut, cre],
Ben Bolker [aut],
Jake Westfall [aut],
Søren Højsgaard [ctb],
John Fox [ctb],
Michael A. Lawrence [ctb],
Ulf Mertens [ctb],
Frederik Aust [ctb]