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.


Reference manual

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1.3.4 by John E. Kolassa, 2 months ago

Browse source code at

Authors: John E. Kolassa [cre] , Stephane Jankowski [aut]

Documentation:   PDF Manual  

GPL-2 license

Depends on ICSNP

See at CRAN