mkStruct: Building Design Matrices and Covariance Structures for Linear...

In pwr4exp: Power Analysis for Research Experiments

Building Design Matrices and Covariance Structures for Linear Mixed Models

Description

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

Usage

mkStruct(formula, data, corcall)

Arguments

formula	a model formula.
data	a data frame containing the variables used in the model.
corcall	a call object specifying the residual correlation structure. If NULL, an identity matrix is assumed.

Value

A list containing:

• data: Processed data frame with NA values omitted.

• fxTrms: Fixed-effects design structure, including model frame and design matrix.

• reTrms: Random-effects structure (if applicable), including grouping factors, design matrices, and variance-covariance matrix.

• rTrms: Residual structure (R-side variance-covariance components).

• formula: Expanded model formula.

pwr4exp documentation built on April 4, 2025, 1:46 a.m.