afex: Analysis of Factorial Experiments
Version 0.18-0

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).

Package details

AuthorHenrik 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], Jonathan Love [ctb]
Date of publication2017-05-25 22:17:48 UTC
MaintainerHenrik Singmann <[email protected]>
LicenseGPL (>= 2)
Version0.18-0
URL http://afex.singmann.science/ https://github.com/singmann/afex
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("afex")

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afex documentation built on May 30, 2017, 6:40 a.m.