T_Mu

<code>T_Mu</code> returns the test statistic for an unconditional CMH MS equivalent
test of required <code>degree</code>. This function is used in the
<code>unconditional_CMH</code> function.

Cochran-Mantel-Haenszel methods (Cochran (1954) <doi:10.2307/3001616>; Mantel and Haenszel (1959) <doi:10.1093/jnci/22.4.719>; Landis et al. (1978) <doi:10.2307/1402373>) are a suite of tests applicable to categorical data. A competitor to those tests is the procedure of Nonparametric ANOVA which was initially introduced in Rayner and Best (2013) <doi:10.1111/anzs.12041>. The methodology was then extended in Rayner et al. (2015) <doi:10.1111/anzs.12113>. This package employs functions related to both methodologies and serves as an accompaniment to the book: An Introduction to Cochran–Mantel–Haenszel and Non-Parametric ANOVA. The package also contains the data sets used in that text.

G. C. Livingston Jr

CMHNPA

Cochran-Mantel-Haenszel and Nonparametric ANOVA

J.C.W. Rayner

T_Mu function

<dl><dt>treatment</dt>
<dd>a vector of treatment values.</dd>
<dt>response</dt>
<dd>a vector of response values.</dd>
<dt>strata</dt>
<dd>a variable defining the strata.</dd>
<dt>degree</dt>
<dd>the degree assessment required.</dd></dl>

Arguments

T_Mu statistic — T_Mu

<dl>

<dt>treatment</dt>
<dd>a vector of treatment values.</dd>


<dt>response</dt>
<dd>a vector of response values.</dd>


<dt>strata</dt>
<dd>a variable defining the strata.</dd>


<dt>degree</dt>
<dd>the degree assessment required.</dd>

</dl>

T_Mu: T_Mu statistic

Description

Usage

Value

Arguments

References

See Also

Examples