theil

Perform the Theil nonparametric estimation and confidence interval for a slope parameter.

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

theil function

<dl><dt>x</dt>
<dd>A vector of values of the explanatory variable.</dd>
<dt>y</dt>
<dd>A vector of values of the response variable.</dd>
<dt>conf</dt>
<dd>Level of confidence interval.</dd></dl>

Arguments

Perform the Theil nonparametric estimation and confidence interval for a slope parameter. — theil

<dl>

<dt>x</dt>
<dd>A vector of values of the explanatory variable.</dd>


<dt>y</dt>
<dd>A vector of values of the response variable.</dd>


<dt>conf</dt>
<dd>Level of confidence interval.</dd>

</dl>

theil: Perform the Theil nonparametric estimation and confidence interval for a slope parameter.

Description

Usage

Value

Arguments

Examples