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-release: MultNonParam_1.3.6.zip, r-oldrel: MultNonParam_1.3.6.zip
macOS binaries:	r-release (arm64): MultNonParam_1.3.6.tgz, r-oldrel (arm64): MultNonParam_1.3.6.tgz, r-release (x86_64): MultNonParam_1.3.6.tgz, r-oldrel (x86_64): MultNonParam_1.3.6.tgz
Old sources:	MultNonParam archive

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