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.
||R (≥ 2.10), ICSNP
||John E. Kolassa [cre],
Stephane Jankowski [aut]
||John E. Kolassa <kolassa at stat.rutgers.edu>
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