afex-package | R Documentation |
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 (i.e., split-plot) ANOVAs for data in long format (i.e., one observation per row), automatically 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_plot() provides a high-level interface for interaction or one-way plots using ggplot2, combining raw data and model estimates. afex uses type 3 sums of squares as default (imitating commercial statistical software).
The DESCRIPTION file:
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Maintainer: Henrik Singmann singmann@gmail.com (ORCID)
Authors:
Ben Bolker
Jake Westfall
Frederik Aust (ORCID)
Mattan S. Ben-Shachar
Other contributors:
Søren Højsgaard [contributor]
John Fox [contributor]
Michael A. Lawrence [contributor]
Ulf Mertens [contributor]
Jonathon Love [contributor]
Russell Lenth [contributor]
Rune Haubo Bojesen Christensen [contributor]
Useful links:
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