smn74/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>.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Sarah Friedrich, Frank Konietschke, Markus Pauly, Marc Ditzhaus, Philipp Steinhauer |
| Maintainer | Sarah Friedrich <sarah.friedrich@med.uni-goettingen.de> |
| License | GPL-2 | GPL-3 |
| Version | 0.3.1 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
|
