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. See Kolassa and Seifu (2013)
<doi:10.1016/j.acra.2013.03.006>.
