nlme (version 3.1-1)

logLik.lme: Log-Likelihood of an lme Object

Description

If REML=FALSE, returns the log-likelihood value of the linear mixed-effects model represented by object evaluated at the estimated coefficients; else, the restricted log-likelihood evaluated at the estimated coefficients is returned.

Usage

logLik(object, REML)

Arguments

object
an object inheriting from class lme, representing a fitted linear mixed-effects model.
REML
an optional logical value. If TRUE the restricted log-likelihood is returned, else, if FALSE, the log-likelihood is returned. Defaults to FALSE.

Value

  • the (restricted) log-likelihood of the linear mixed-effects model represented by object evaluated at the estimated coefficients.

References

Harville, D.A. (1974) "Bayesian Inference for Variance Components Using Only Error Contrasts", Biometrika, 61, 383-385.

See Also

lme

Examples

Run this code
data(Orthodont)
fm1 <- lme(distance ~ Sex * age, Orthodont, random = ~ age, method = "ML")
logLik(fm1)
logLik(fm1, REML = TRUE)

Run the code above in your browser using DataCamp Workspace