MultNonParam

MultNonParam-package

A collection of 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. See Kolassa and Seifu (2013) <doi:10.1016/j.acra.2013.03.006>.

John E Kolassa

Multivariate Nonparametric Methods

John E. Kolassa

Stephane Jankowski

MultNonParam-package function

Maintainer: John E. Kolassa <a href="/link/kolassa%40stat.rutgers.edu?package=MultNonParam&version=1.3.9" data-mini-rdoc="MultNonParam::kolassa@stat.rutgers.edu">kolassa@stat.rutgers.edu</a>
Authors:<ul>
<li>Stephane Jankowski</li>
</ul>

Author

MultNonParam — MultNonParam-package

Maintainer: John E. Kolassa <a href='mailto:kolassa@stat.rutgers.edu'>kolassa@stat.rutgers.edu</a>
Authors:<ul>
<li>Stephane Jankowski</li>
</ul>

MultNonParam-package: MultNonParam

Description

Arguments

Author