GFD: Tests for General Factorial Designs

Implemented are the Wald-type statistic, a permuted version thereof as well as the ANOVA-type statistic for general factorial designs, even with non-normal error terms and/or heteroscedastic variances, for crossed designs with an arbitrary number of factors and nested designs with up to three factors. Friedrich et al. (2017) <doi:10.18637/jss.v079.c01>.

Getting started

Package details

AuthorSarah Friedrich, Frank Konietschke, Markus Pauly, Marc Ditzhaus, Philipp Steinhauer
MaintainerSarah Friedrich <sarah.friedrich@math.uni-augsburg.de>
LicenseGPL-2 | GPL-3
Version0.3.3
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("GFD")

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GFD documentation built on Jan. 18, 2022, 9:06 a.m.