Package: dunn.test
Version: 1.3.6
Date: 2024-4-12
Title: Dunn's Test of Multiple Comparisons Using Rank Sums
Author: Alexis Dinno
Maintainer: Alexis Dinno <alexis.dinno@pdx.edu>
Description: 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.
License: GPL-2
LazyData: true
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-04-12 16:22:07 UTC; alexis
Repository: CRAN
Date/Publication: 2024-04-12 18:30:02 UTC
Built: R 4.3.3; ; 2025-01-24 03:35:28 UTC; unix
