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.

Version: 1.3.2
Depends: R (≥ 2.10)
Published: 2020-02-14
Author: John E. Kolassa [cre], Stephane Jankowski [aut]
Maintainer: John E. Kolassa <kolassa at>
License: GPL-2
NeedsCompilation: yes
CRAN checks: MultNonParam results


Reference manual: MultNonParam.pdf
Package source: MultNonParam_1.3.2.tar.gz
Windows binaries: r-devel:, r-devel-gcc8:, r-release:, r-oldrel:
OS X binaries: r-release: MultNonParam_1.3.2.tgz, r-oldrel: MultNonParam_1.3.2.tgz
Old sources: MultNonParam archive


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