GFD: Tests for General Factorial Designs (original) (raw)
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 |
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