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: 1.2.8
Depends: R (≥ 2.10)
Published: 2019-09-07
Author: John E. Kolassa [cre], Stephane Jankowski [aut]
Maintainer: John E. Kolassa <kolassa at stat.rutgers.edu>
License: GPL-2
NeedsCompilation: yes
CRAN checks: MultNonParam results

Downloads:

Reference manual: MultNonParam.pdf
Package source: MultNonParam_1.2.8.tar.gz
Windows binaries: r-devel: MultNonParam_1.2.8.zip, r-release: MultNonParam_1.2.8.zip, r-oldrel: MultNonParam_1.2.8.zip
OS X binaries: r-release: MultNonParam_1.2.8.tgz, r-oldrel: MultNonParam_1.2.8.tgz
Old sources: MultNonParam archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MultNonParam to link to this page.