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.

Version: 1.3.6
Depends: R (≥ 2.10), ICSNP
Published: 2021-09-30
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

Documentation:

Reference manual: MultNonParam.pdf

Downloads:

Package source: MultNonParam_1.3.6.tar.gz
Windows binaries: r-devel: MultNonParam_1.3.6.zip, r-devel-UCRT: MultNonParam_1.3.6.zip, r-release: MultNonParam_1.3.6.zip, r-oldrel: MultNonParam_1.3.6.zip
macOS binaries: r-release (arm64): MultNonParam_1.3.6.tgz, r-release (x86_64): MultNonParam_1.3.6.tgz, r-oldrel: MultNonParam_1.3.6.tgz
Old sources: MultNonParam archive

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