afex (0.14-2)

Analysis of Factorial Experiments.

https://github.com/singmann/afex
http://cran.r-project.org/web/packages/afex

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).

Maintainer: Henrik Singmann
Author(s): Henrik Singmann [aut, cre], Ben Bolker [aut], Jake Westfall [aut], Sren Hjsgaard [ctb], John Fox [ctb], Michael A. Lawrence [ctb], Ulf Mertens [ctb]

License: GPL (>= 3)

Uses: car, coin, lme4, lsmeans, Matrix, pbkrtest, reshape2, stringr, lattice, mlmRev, multcomp, xtable, ascii, plyr, testthat, optimx, nloptr, knitr
Reverse depends: fullfact
Reverse suggests: apa, insight, lsmeans, nauf, standardize
Reverse enhances: lsmeans

Released about 4 years ago.