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: 1.2.5
Published: 2016-10-21
Author: John E. Kolassa & Stephane Jankowski
Maintainer: John E. Kolassa <kolassa at stat.rutgers.edu>
License: GPL-2
NeedsCompilation: yes
CRAN checks: MultNonParam results

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Reference manual: MultNonParam.pdf
Package source: MultNonParam_1.2.5.tar.gz
Windows binaries: r-devel: MultNonParam_1.2.5.zip, r-release: MultNonParam_1.2.5.zip, r-oldrel: MultNonParam_1.2.5.zip
OS X El Capitan binaries: r-release: MultNonParam_1.2.5.tgz
OS X Mavericks binaries: r-oldrel: MultNonParam_1.2.5.tgz
Old sources: MultNonParam archive

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