VarCorr.tramME: Variances and correlation matrices of random effects

In tramME: Transformation Models with Mixed Effects

Variances and correlation matrices of random effects

Description

This function calculates the variances and correlations from varcov.tramME.

Usage

## S3 method for class 'tramME'
VarCorr(x, ...)

Arguments

x	A tramME object
...	optional arguments (for consistency with the generic method)

Details

The function only returns the correlation matrices that belong to actual random effects (defined for groups in the data) and ignores the random effects parameters of the smooth shift terms. To extract these, the user should use varcov with full = TRUE.

Note that, by default, print.VarCorr.tramME prints the standard deviations of the random effects, similarly to lme4.

Value

A list of vectors with variances and correlation matrices corresponding to the various grouping variables.

Examples

data("sleepstudy", package = "lme4")
fit <- BoxCoxME(Reaction ~ Days + (Days | Subject), data = sleepstudy)
VarCorr(fit)

tramME documentation built on July 2, 2024, 5:07 p.m.