mkRTrms

Residual Variance-Covariance Matrices

internal

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

mkRTrms function

<dl><dt>data</dt>
<dd>a data frame with grouping factors and covariates.</dd>
<dt>correlation</dt>
<dd>a <code>corStruct</code> object created by corClasses functions.
If NULL, an identity matrix is assumed.</dd></dl>

Arguments

Residual Variance-Covariance Matrices — mkRTrms

<dl>

<dt>data</dt>
<dd>a data frame with grouping factors and covariates.</dd>


<dt>correlation</dt>
<dd>a <code>corStruct</code> object created by corClasses functions.
If NULL, an identity matrix is assumed.</dd>

</dl>

mkRTrms: Residual Variance-Covariance Matrices

Description

Usage

Value

Arguments