afex: Analysis of Factorial Experiments
Provides convenience functions for analyzing factorial experiments
using ANOVA or mixed models. ez.glm(), aov.car(), 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 gmail.com> |
| License: |
GPL (≥ 3) |
| URL: |
http://www.psychologie.uni-freiburg.de/Members/singmann/R/afex |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| CRAN checks: |
afex results |
Downloads:
Reverse dependencies: