Analysis of Factorial Experiments.
| Package: | afex |
| Type: | Package |
| Version: | 0.18-0 |
| Date: | 2017-05-25 |
| Depends: | R (>= 3.1.0), lme4 (>= 1.1-8), lsmeans (>= 2.17) |
| Encoding: | UTF-8 |
| License: | GPL (>=2) |
| URL: | http://afex.singmann.science/, https://github.com/singmann/afex |
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).