mkStruct

Constructs design matrices for fixed and random effects, along with
variance-covariance structures for random effects (G-side) and residuals (R-side).

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

mkStruct function

<dl><dt>formula</dt>
<dd>a model formula.</dd>
<dt>data</dt>
<dd>a data frame containing the variables used in the model.</dd>
<dt>correlation</dt>
<dd>a <code>corStruct</code> object created by corClasses functions.
If NULL, an identity matrix is assumed.</dd></dl>

Arguments

Building Design Matrices and Covariance Structures for Linear Mixed Models — mkStruct

<dl>

<dt>formula</dt>
<dd>a model formula.</dd>


<dt>data</dt>
<dd>a data frame containing the variables used in the model.</dd>


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

</dl>

mkStruct: Building Design Matrices and Covariance Structures for Linear Mixed Models

Description

Usage

Value

Arguments