Calculate a Mann-Whitney-Wilcoxon test for a difference between treatment levels using nested ranks. This test can be used when observations are structured into several groups and each group has received both treatment levels. The p-value is determined via bootstrapping. The nested ranks test is intended to be one possible mixed-model extension of the Mann-Whitney-Wilcoxon test, for which treatment is a fixed effect and group membership is a random effect.
| Version: | 0.2 |
| Depends: | R (≥ 3.2.0) |
| Suggests: | knitr (≥ 0.5), testthat |
| Published: | 2015-06-06 |
| Author: | Douglas G. Scofield [aut, cre] |
| Maintainer: | Douglas G. Scofield <douglasgscofield at gmail.com> |
| License: | LGPL-3 | file LICENSE |
| URL: | https://github.com/douglasgscofield/nestedRanksTest |
| NeedsCompilation: | no |
| Citation: | nestedRanksTest citation info |
| Materials: | README NEWS |
| CRAN checks: | nestedRanksTest results |
| Reference manual: | nestedRanksTest.pdf |
| Vignettes: |
Using nestedRanksTest |
| Package source: | nestedRanksTest_0.2.tar.gz |
| Windows binaries: | r-devel: nestedRanksTest_0.2.zip, r-release: nestedRanksTest_0.2.zip, r-oldrel: nestedRanksTest_0.2.zip |
| OS X binaries: | r-release: nestedRanksTest_0.2.tgz, r-oldrel: nestedRanksTest_0.2.tgz |
| Old sources: | nestedRanksTest archive |
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