glmm (version 1.4.5)

vcov.glmm: Variance-Covariance Matrix

Description

A function that calculates the variance-covariance matrix for the Monte Carlo maximum likelihood estimates returned from glmm.

Usage

# S3 method for glmm
vcov(object,...)

Value

vcov

The variance-covariance matrix for the parameter estimates

Arguments

object

An object of class glmm usually created using glmm.

...

further arguments passed to or from other methods.

Author

Christina Knudson

See Also

glmm for model fitting.

Examples

library(glmm)
data(BoothHobert)
set.seed(1234)
mod <- glmm(y~0+x1, list(y~0+z1), varcomps.names=c("z1"), 
data=BoothHobert, family.glmm=bernoulli.glmm, m=100, doPQL=TRUE)

vcov(mod)