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.

Version: 0.2.4
Depends: R (≥ 3.2.2)
Imports: plyr (≥ 1.8.3), MASS (≥ 7.3-43), Matrix (≥ 1.2-2), magic (≥ 1.5-6), plotrix (≥ 3.5-12), methods
Suggests: RGtk2 (≥ 2.20.31), HSAUR, knitr, rmarkdown
Published: 2017-07-10
Author: Sarah Friedrich, Frank Konietschke, Markus Pauly
Maintainer: Sarah Friedrich <sarah.friedrich at uni-ulm.de>
License: GPL-2 | GPL-3
NeedsCompilation: no
Citation: GFD citation info
CRAN checks: GFD results

Downloads:

Reference manual: GFD.pdf
Vignettes: An Introduction to GFD
Package source: GFD_0.2.4.tar.gz
Windows binaries: r-devel: GFD_0.2.4.zip, r-release: GFD_0.2.4.zip, r-oldrel: GFD_0.2.4.zip
OS X El Capitan binaries: r-release: GFD_0.2.4.tgz
OS X Mavericks binaries: r-oldrel: GFD_0.2.4.tgz
Old sources: GFD archive

Reverse dependencies:

Reverse suggests: MANOVA.RM

Linking:

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