probabilityderiv

<code>probabilityderiv</code> calculates derivatives probabilities of one variable exceeding another,
where the variables are independent, and with identical distributions except for a location shift, at the null hypothesis.
This calculation is useful for power of Mann-Whitney-Wilcoxon, Jonckheere-Terpstra, and Kruskal-Wallis testing.

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

MultNonParam

Multivariate Nonparametric Methods

John E. Kolassa

Stephane Jankowski

probabilityderiv function

<dl><dt>distname</dt>
<dd>The distribution of the underlying observations; normal and logistic are currently supported.</dd></dl>

Arguments

Derivative of pairwise probabilities of Exceedence — probabilityderiv

<dl>

<dt>distname</dt>
<dd>The distribution of the underlying observations; normal and logistic are currently supported.</dd>

</dl>

probabilityderiv: Derivative of pairwise probabilities of Exceedence

Description

Usage

Value

Arguments

Details