The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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 imports: | AgroR, CleaningValidation, FSA, MultBiplotR, multiclassPairs, RTNsurvival, visxhclust |
Please use the canonical form https://CRAN.R-project.org/package=dunn.test to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.