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.
|Author||John E. Kolassa & Stephane Jankowski|
|Date of publication||2016-10-21 03:52:54|
|Maintainer||John E. Kolassa <[email protected]>|
|Package repository||View on CRAN|
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