afex: Analysis of Factorial Experiments
Version 0.20-2

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] (<https://orcid.org/0000-0002-4842-3657>), Ben Bolker [aut], Jake Westfall [aut], Frederik Aust [aut] (<https://orcid.org/0000-0003-4900-788X>), Søren Højsgaard [ctb], John Fox [ctb], Michael A. Lawrence [ctb], Ulf Mertens [ctb], Jonathon Love [ctb], Russell Lenth [ctb], Rune Haubo Bojesen Christensen [ctb]
Date of publication2018-04-04 12:40:23 UTC
MaintainerHenrik Singmann <[email protected]>
LicenseGPL (>= 2)
Version0.20-2
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")

Try the afex package in your browser

Any scripts or data that you put into this service are public.

afex documentation built on April 4, 2018, 5:04 p.m.