tramME (version 0.1.3)

vcov.LmME: Get the variance-covariance matrix of the parameters of an LmME model

Description

pargroup = "baseline" with the option as.survreg = TRUE is not available for LmME objects.

Usage

# S3 method for LmME
vcov(
  object,
  as.lm = FALSE,
  parm = NULL,
  pargroup = c("all", "fixef", "shift", "baseline", "ranef"),
  pmatch = FALSE,
  ...
)

Arguments

object

A fitted LmME object.

as.lm

If TRUE, return the covariance matrix of the same parametrization as used by lmer.

parm

The indeces or names of the parameters of interest. See in details.

pargroup

fixef: fixed-effects, shift: shift parameters, all: fixed effects and variance component parameters, baseline: parameters of the baseline transformation function, ranef: variance components parameters.

pmatch

Logical. If TRUE, partial name matching is allowed.

...

Optional arguments passed to vcov.tramTMB

Value

A numeric covariance matrix.

Examples

# NOT RUN {
data("sleepstudy", package = "lme4")
fit <- LmME(Reaction ~ Days + (Days | Subject), data = sleepstudy)
vcov(fit) ## transformation model parametrization
vcov(fit, as.lm = TRUE) ## LMM parametrization
## cov of coefficient AND other terms with 'Days' in names
vcov(fit, as.lm = TRUE, parm = "Days", pmatch = TRUE)
vcov(fit, as.lm = TRUE, parm = "^Days", pmatch = TRUE) ## var of coefficient only
vcov(fit, as.lm = TRUE, pargroup = "fixef") ## cov of fixed effects
# }