corLin

Re-exports <a href="/link/nlme%3A%3AcorLin?package=pwr4exp&version=1.0.1" data-mini-rdoc="pwr4exp::nlme::corLin">nlme::corLin</a> from the nlme package.

Provides tools for calculating statistical power for experiments
analyzed using linear mixed models. It supports standard designs, including
randomized block, split-plot, and Latin Square designs, while offering flexibility
to accommodate a variety of other complex study designs.

Kai Wang

pwr4exp

Power Analysis for Research Experiments

Mutian Niu

corLin function

<dl><dt>value</dt>
<dd>numeric value(s) for the parameter(s)</dd>
<dt>form</dt>
<dd>a one-sided formula of the form <code>~ S1 + ... + Sp</code>, or <code>~ S1 + ... + Sp | g</code>
spatial covariates S1 through Sp and, optionally, a grouping factor g.</dd>
<dt>nugget</dt>
<dd>logical; if <code>TRUE</code> a nugget effect is added</dd>
<dt>metric</dt>
<dd>character string specifying the distance metric</dd>
<dt>fixed</dt>
<dd>unused</dd></dl>

Arguments

Re-exports <a href='https://rdrr.io/pkg/nlme/man/corLin.html'>nlme::corLin</a> from the nlme package.

Linear Correlation Structure — corLin

<dl>

<dt>value</dt>
<dd>numeric value(s) for the parameter(s)</dd>


<dt>form</dt>
<dd>a one-sided formula of the form <code>~ S1 + ... + Sp</code>, or <code>~ S1 + ... + Sp | g</code>
spatial covariates S1 through Sp and, optionally, a grouping factor g.</dd>


<dt>nugget</dt>
<dd>logical; if <code>TRUE</code> a nugget effect is added</dd>


<dt>metric</dt>
<dd>character string specifying the distance metric</dd>


<dt>fixed</dt>
<dd>unused</dd>

</dl>

corLin: Linear Correlation Structure

Description

Usage

Arguments

See Also