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CRAN: Package GFD

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>.

Version: 0.3.3 Depends: R (≥ 3.3) Imports: plyr (≥ 1.8.3), MASS (≥ 7.3-43), Matrix (≥ 1.2-2), magic (≥ 1.5-6), plotrix (≥ 3.5-12), methods, shiny (≥ 1.4), shinyjs, shinyWidgets, shinythemes, tippy Suggests: RGtk2 (≥ 2.20.31), knitr, rmarkdown, HSAUR Published: 2022-01-18 DOI: 10.32614/CRAN.package.GFD Author: Sarah Friedrich, Frank Konietschke, Markus Pauly, Marc Ditzhaus, Philipp Steinhauer Maintainer: Sarah Friedrich <sarah.friedrich at math.uni-augsburg.de> License: GPL-2 | GPL-3 NeedsCompilation: no Citation: GFD citation info Materials: NEWS CRAN checks: GFD results Documentation: Downloads: Reverse dependencies: Linking:

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