coin, xtable, parallel, plyr, optimx, nloptr, knitr,
rmarkdown, R.rsp, lattice, latticeExtra, multcomp, testthat,
mlmRev, dplyr, tidyr, dfoptim, Matrix, psych, ggplot2, MEMSS,
effects, carData
pbkrtest (>= 0.4-1), lmerTest (>= 3.0-0), car, reshape2,
stats, methods
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
commercial statistical software).
c(person(given="Henrik", family="Singmann", role=c("aut", "cre"),
email="singmann+afex@gmail.com",
comment=c(ORCID="0000-0002-4842-3657")), person(given="Ben",
family="Bolker", role=c("aut")), person(given="Jake", family="Westfall",
role=c("aut")), person(given="Frederik", family="Aust", role=c("aut"),
comment = c(ORCID = "0000-0003-4900-788X")), 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="Jonathon", family="Love", role=c("ctb")),
person(given="Russell", family="Lenth", role=c("ctb")),
person(given="Rune", family="Haubo Bojesen Christensen", role=c("ctb"))
)

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,
cowplot, jtools, ggpubr, ggpol
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 (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).
c(person(given="Henrik", family="Singmann", role=c("aut", "cre"),
email="singmann+afex@gmail.com", comment=c(ORCID="0000-0002-4842-3657")),
person(given="Ben", family="Bolker", role=c("aut")),
person(given="Jake",family="Westfall", role=c("aut")),
person(given="Frederik", family="Aust", role=c("aut"),
comment = c(ORCID = "0000-0003-4900-788X")),
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="Jonathon", family="Love", role=c("ctb")),
person(given="Russell", family="Lenth", role=c("ctb")),
person(given="Rune", family="Haubo Bojesen Christensen", role=c("ctb")))