lattice, multcomp, testthat, mlmRev, dplyr
Description: 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).
Authors@R: 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")) )

Imports: stringr, coin, Matrix (>= 1.1.1), pbkrtest (>= 0.4-1), car,
Description: 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).
Authors@R: 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="Frederik", family="Aust", 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")) )