conover.test: Conover-Iman Test of Multiple Comparisons Using Rank Sums
Version 1.1.5

Computes the Conover-Iman test (1979) 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. conover.test makes k(k-1)/2 multiple pairwise comparisons based on Conover-Iman t-test-statistic of the rank differences. 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, Conover-Iman test may be understood as a test for median difference. conover.test accounts for tied ranks. The Conover-Iman test is strictly valid if and only if the corresponding Kruskal-Wallis null hypothesis is rejected.

Getting started

Package details

AuthorAlexis Dinno <[email protected]>
Date of publication2017-10-30 19:59:17 UTC
MaintainerAlexis Dinno <[email protected]>
LicenseGPL-2
Version1.1.5
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("conover.test")

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conover.test documentation built on Nov. 17, 2017, 4:37 a.m.