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.

AuthorSarah Friedrich, Frank Konietschke, Markus Pauly
Date of publication2016-04-28 11:50:01
MaintainerSarah Friedrich <sarah.friedrich@uni-ulm.de>
LicenseGPL-2 | GPL-3
Version0.2.2

View on CRAN

Files

GFD
GFD/inst
GFD/inst/doc
GFD/inst/doc/IntroductionToGFD.R
GFD/inst/doc/IntroductionToGFD.Rmd
GFD/inst/doc/IntroductionToGFD.html
GFD/NAMESPACE
GFD/data
GFD/data/curdies.rda
GFD/data/pizza.rda
GFD/data/startup.rda
GFD/R
GFD/R/calculate_statistics.R GFD/R/GUI.R GFD/R/Data.R
GFD/R/share
GFD/R/share/licenses
GFD/R/share/licenses/GPL-2.txt
GFD/R/share/licenses/GPL-3.txt
GFD/R/hypo_matrix.R GFD/R/GFD-function.R GFD/R/utility_functions.R GFD/R/plot_function.R
GFD/vignettes
GFD/vignettes/IntroductionToGFD.Rmd
GFD/MD5
GFD/build
GFD/build/vignette.rds
GFD/DESCRIPTION
GFD/man
GFD/man/startup.Rd GFD/man/curdies.Rd GFD/man/GFD.Rd GFD/man/pizza.Rd GFD/man/calculateGUI.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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