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.

Documentation

Manual: nestedRanksTest.pdf
Vignette: Using nestedRanksTest

Maintainer: Douglas G. Scofield <douglasgscofield at gmail.com>

Author(s): Douglas G. Scofield*

Install package and any missing dependencies by running this line in your R console:

install.packages("nestedRanksTest")

Depends R (>= 3.2.0)
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Suggests knitr(>=0.5), testthat
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Package nestedRanksTest
Materials
URL https://github.com/douglasgscofield/nestedRanksTest
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Version 0.2
Published 2015-06-06
License LGPL-3 | file LICENSE
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NeedsCompilation no
Citation
CRAN checks nestedRanksTest check results
Package source nestedRanksTest_0.2.tar.gz