Tests for General Factorial Designs R package GFD version 0.3.3 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>. Software 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 Sarah Friedrich <sarah.friedrich@math.uni-augsburg.de> Comprehensive R Archive Network (CRAN) Sarah Friedrich, Frank Konietschke, Markus Pauly, Marc Ditzhaus, Philipp Steinhauer GPL-2 GPL-3 2022-01-18 application/tgz https://CRAN.R-project.org/package=GFD doi:10.32614/CRAN.package.GFD