Package: dunn.test
Version: 1.3.4
Date: 2017-04-01
Title: Dunn's Test of Multiple Comparisons Using Rank Sums
Author: Alexis Dinno <alexis.dinno@pdx.edu>
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 stochastic dominance among k groups (Kruskal and Wallis, 1952). The interpretation of stochastic dominance requires an assumption that the CDF of one group does not cross the CDF of the other. '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. 'dunn.test' accounts for tied ranks.
License: GPL-2
LazyData: no
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2017-04-02 19:49:07 UTC; Alexis
Repository: CRAN
Date/Publication: 2017-04-02 20:51:09 UTC
Built: R 3.4.1; ; 2017-09-11 03:33:48 UTC; windows
