solvencp

This function calculates the noncentrality parameter required to give a test whose null distribution is central chi-square and whose alternative distribution is noncentral chi-square the required level and power.

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

solvencp function

<dl><dt>df</dt>
<dd>Common degrees of freedom for null and alternative distributions.</dd>
<dt>level</dt>
<dd>Level (that is, type I error rate) for the test.</dd>
<dt>targetpower</dt>
<dd>Desired power</dd></dl>

Arguments

Noncentrality Parameter for a Given Level and Power — solvencp

<dl>

<dt>df</dt>
<dd>Common degrees of freedom for null and alternative distributions.</dd>


<dt>level</dt>
<dd>Level (that is, type I error rate) for the test.</dd>


<dt>targetpower</dt>
<dd>Desired power</dd>

</dl>

solvencp: Noncentrality Parameter for a Given Level and Power

Description

Usage

Value

Arguments

Examples