npmv: Nonparametric Comparison of Multivariate Samples

Performs analysis of one-way multivariate data, for small samples using Nonparametric techniques. Using approximations for ANOVA Type, Wilks' Lambda, Lawley Hotelling, and Bartlett Nanda Pillai Test statics, the package compares the multivariate distributions for a single explanatory variable. The comparison is also performed using a permutation test for each of the four test statistics. The package also performs an all-subsets algorithm regarding variables and regarding factor levels.

Version: 2.4.0
Imports: Formula, methods
Published: 2017-01-09
Author: Woodrow Burchett and Amanda Ellis
Maintainer: Amanda Ellis <arelli4 at uky.edu>
License: GPL-2
NeedsCompilation: no
Citation: npmv citation info
CRAN checks: npmv results

Downloads:

Reference manual: npmv.pdf
Package source: npmv_2.4.0.tar.gz
Windows binaries: r-devel: npmv_2.4.0.zip, r-release: npmv_2.4.0.zip, r-oldrel: npmv_2.4.0.zip
OS X El Capitan binaries: r-release: npmv_2.4.0.tgz
OS X Mavericks binaries: r-oldrel: npmv_2.4.0.tgz
Old sources: npmv archive

Reverse dependencies:

Reverse imports: MiRAnorm

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