MultNonParam: Multivariate Nonparametric Methods

A collection of multivariate nonparametric methods, selected in part to support an MS level course in nonparametric statistical methods. Methods include adjustments for multiple comparisons, implementation of multivariate Mann-Whitney-Wilcoxon testing, inversion of these tests to produce a confidence region, some permutation tests for linear models, and some algorithms for calculating exact probabilities associated with one- and two- stage testing involving Mann-Whitney-Wilcoxon statistics. Supported by grant NSF DMS 1712839.

Package details

AuthorJohn E. Kolassa [cre], Stephane Jankowski [aut]
MaintainerJohn E. Kolassa <>
Package repositoryView on CRAN
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MultNonParam documentation built on Sept. 30, 2021, 5:09 p.m.