afex: Analysis of Factorial Experiments

Provides convenience functions for analyzing factorial experiments using ANOVA or mixed models. ez.glm(),, and aov4() allow convenient 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 a mixed model using lme4::lmer() and computes p-values for all 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). compare.2.vectors() compares two vectors using a variety of tests (t, Wilcoxon, and permutation).

Version: 0.13-145
Depends: R (≥ 3.0.0), car, lme4 (≥ 1.0.5), reshape2
Imports: stringr, coin, Matrix, pbkrtest (≥ 0.3-6)
Suggests: ascii, xtable, parallel, plyr, optimx, nloptr
Published: 2015-01-12
Author: Henrik Singmann [aut, cre], Ben Bolker [aut], Jake Westfall [aut], Søren Højsgaard [ctb], John Fox [ctb], Michael A. Lawrence [ctb], Ulf Mertens [ctb]
Maintainer: Henrik Singmann <singmann+afex at>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: NEWS
CRAN checks: afex results


Reference manual: afex.pdf
Package source: afex_0.13-145.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: afex_0.13-145.tgz, r-oldrel: afex_0.13-145.tgz
OS X Mavericks binaries: r-release: afex_0.13-145.tgz
Old sources: afex archive

Reverse dependencies:

Reverse enhances: lsmeans