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).
| Version: |
0.16-1 |
| Depends: |
R (≥ 3.1.0), lme4 (≥ 1.1-8), reshape2, lsmeans (≥ 2.17) |
| Imports: |
stringr, coin, Matrix (≥ 1.1.1), pbkrtest (≥ 0.4-1), car, stats, utils, methods |
| Suggests: |
ascii, xtable, parallel, plyr, optimx, nloptr, knitr, lattice, multcomp, testthat, mlmRev, dplyr |
| Published: |
2016-04-04 |
| Author: |
Henrik Singmann [aut, cre],
Ben Bolker [aut],
Jake Westfall [aut],
Frederik Aust [aut],
Søren Højsgaard [ctb],
John Fox [ctb],
Michael A. Lawrence [ctb],
Ulf Mertens [ctb] |
| Maintainer: |
Henrik Singmann <singmann+afex at gmail.com> |
| License: |
GPL (≥ 3) |
| URL: |
https://github.com/singmann/afex |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| CRAN checks: |
afex results |