VarCorr: Extract Variance-Covariance Matrix

In nlmm: Generalized Laplace Mixed-Effects Models

Extract Variance-Covariance Matrix

Description

This function extracts the variance-covariance matrix of the random effects from a fitted nlmm object.

Usage

## S3 method for class 'nlmm'
VarCorr(x, sigma = NULL, ...)

Arguments

x	an object of class "nlmm".
sigma	not used.
...	not used.

Details

This function returns the variance or the variance-covariance matrix of the random effects. The generic function VarCorr is imported from the nlme package (Pinheiro et al, 2014).

Author(s)

Marco Geraci

References

Pinheiro J, Bates D, DebRoy S, Sarkar D and R Core Team (2014). nlme: Linear and Nonlinear Mixed Effects Models. R package version 3.1-117, https://CRAN.R-project.org/package=nlme.

See Also

nlmm

Examples

## Not run: 
data(rats)
fit <- nlmm(y ~ trt*time, random = ~ time, group = id, data = rats, cov = "pdSymm",
control = nlmmControl(multistart = FALSE))

# Symmetric variance-covariance of random intercepts and slopes
VarCorr(fit)

## End(Not run)

nlmm documentation built on Nov. 24, 2023, 5:11 p.m.