nestedRanksTest: Mann-Whitney-Wilcoxon Test for Nested Ranks

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

Downloads:

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 El Capitan binaries: r-release: nestedRanksTest_0.2.tgz
OS X Mavericks binaries: r-oldrel: nestedRanksTest_0.2.tgz
Old sources: nestedRanksTest archive

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