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afex (version 0.15-2)
Analysis of Factorial Experiments
Description
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).