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: |
0.2.9 |
| Depends: |
R (≥ 3.3.0) |
| 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), knitr, rmarkdown |
| Published: |
2020-12-10 |
| Author: |
Sarah Friedrich, Frank Konietschke, Markus Pauly |
| Maintainer: |
Sarah Friedrich <sarah.friedrich at med.uni-goettingen.de> |
| License: |
GPL-2 | GPL-3 |
| NeedsCompilation: |
no |
| Citation: |
GFD citation info |
| Materials: |
NEWS |
| CRAN checks: |
GFD results |
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