varcov.tramME: Extract the variance-covariance matrix of the random effects

In tramME: Transformation Models with Mixed Effects

Extract the variance-covariance matrix of the random effects

Description

Returns the covariance matrix of the random effects as saved in the tramME object. The returned values correspond to the transformation model parametrization.

Usage

## S3 method for class 'tramME'
varcov(object, as.theta = FALSE, full = FALSE, ...)

Arguments

object	A tramME object.
as.theta	Logical value, if TRUE, the values are returned in their reparameterized form.
full	Logical value; if TRUE, return all random effects elements, if FALSE, do not return the random effects parameters of the smooth terms.
...	Optional arguments (unused).

Value

A list of the covariance matrices or a vector of theta values.

Examples

data("sleepstudy", package = "lme4")
fit <- LmME(Reaction ~ Days + (Days | Subject), data = sleepstudy)
varcov(fit)
varcov(fit, as.theta = TRUE)

tramME documentation built on July 9, 2023, 7:10 p.m.