xtable, parallel, plyr, optimx, nloptr, knitr, rmarkdown,
lattice, latticeExtra, multcomp, testthat, mlmRev, dplyr,
tidyr, dfoptim, Matrix, psych
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"), 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")), person(given="Jonathan",
family="Love", role=c("ctb")) )

xtable, parallel, plyr, optimx, nloptr, knitr, rmarkdown,
lattice, latticeExtra, multcomp, testthat, mlmRev, dplyr,
tidyr, dfoptim, Matrix, psych, ggplot2
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="Jonathan", family="Love",
role=c("ctb")) )
Henrik Singmann [aut, cre] (<https://orcid.org/0000-0002-4842-3657>),
Ben Bolker [aut],
Jake Westfall [aut],
Frederik Aust [aut] (<https://orcid.org/0000-0003-4900-788X>),
Søren Højsgaard [ctb],
John Fox [ctb],
Michael A. Lawrence [ctb],
Ulf Mertens [ctb],
Jonathan Love [ctb]