dunn.test: Dunn's Test of Multiple Comparisons Using Rank Sums

Computes Dunn's test (1964) for stochastic dominance and reports the results among multiple pairwise comparisons after a Kruskal-Wallis test for 0th-order stochastic dominance among k groups (Kruskal and Wallis, 1952). 'dunn.test' makes k(k-1)/2 multiple pairwise comparisons based on Dunn's z-test-statistic approximations to the actual rank statistics. The null hypothesis for each pairwise comparison is that the probability of observing a randomly selected value from the first group that is larger than a randomly selected value from the second group equals one half; this null hypothesis corresponds to that of the Wilcoxon-Mann-Whitney rank-sum test. Like the rank-sum test, if the data can be assumed to be continuous, and the distributions are assumed identical except for a difference in location, Dunn's test may be understood as a test for median difference and for mean difference. 'dunn.test' accounts for tied ranks.

Version: 1.3.6
Published: 2024-04-12
DOI: 10.32614/CRAN.package.dunn.test
Author: Alexis Dinno
Maintainer: Alexis Dinno <alexis.dinno at pdx.edu>
License: GPL-2
NeedsCompilation: no
CRAN checks: dunn.test results


Reference manual: dunn.test.pdf


Package source: dunn.test_1.3.6.tar.gz
Windows binaries: r-devel: dunn.test_1.3.6.zip, r-release: dunn.test_1.3.6.zip, r-oldrel: dunn.test_1.3.6.zip
macOS binaries: r-release (arm64): dunn.test_1.3.6.tgz, r-oldrel (arm64): dunn.test_1.3.6.tgz, r-release (x86_64): dunn.test_1.3.6.tgz, r-oldrel (x86_64): dunn.test_1.3.6.tgz
Old sources: dunn.test archive

Reverse dependencies:

Reverse imports: AgroR, CleaningValidation, FSA, MultBiplotR, multiclassPairs, RTNsurvival, visxhclust


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