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.


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install.packages("MultNonParam")

1.3.2 by John E. Kolassa, 14 days ago


Browse source code at https://github.com/cran/MultNonParam


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


Documentation:   PDF Manual  


GPL-2 license



See at CRAN