tramME (version 0.1.3)

varcov<-.tramME: Set the values of the random effects covariance matrices of a tramME model.

Description

Sets the list containing the covariance matrices of a tramME model. The matrices have to be positive definite. Just as in "coef<-", when the function is called on a fitted object, the function will remove the infromation about the optimization.

Usage

# S3 method for tramME
varcov(object, as.theta = FALSE, ...) <- value

Arguments

object

A tramME object.

as.theta

Logical value, if TRUE, indicating that the new values are supplied in their reparameterized form.

...

Optional arguments (ignored).

value

A list of positive definite covariance matrices.

Value

A tramME object with the new coefficient values.

Details

The supplied list has to be named with the same names as implied by the model. Hence, it might be a good idea to call varcov first, and modify this list to make sure that the input has the right structure.

The new values can also be supplied in a form that corresponds to the reparametrization used by the tramTMB model (see the option as.theta = TRUE).

Examples

# NOT RUN {
data("sleepstudy", package = "lme4")
mod <- LmME(Reaction ~ Days + (Days | Subject), data = sleepstudy, nofit = TRUE)
vc <- varcov(mod)
vc[[1]] <- matrix(c(1, 0, 0, 2), ncol = 2)
varcov(mod) <- vc
# }