logLik.lme {nlme}R Documentation

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

## S3 method for class 'lme':
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.
... some methods for this generic require additional arguments. None are used in this method.

Value

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

Author(s)

Jose Pinheiro and Douglas Bates

References

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

Pinheiro, J.C., and Bates, D.M. (2000) "Mixed-Effects Models in S and S-PLUS", Springer.

See Also

lme,gls, logLik.corStruct, logLik.glsStruct, logLik.lmeStruct, logLik.lmList, logLik.reStruct, logLik.varFunc,

Examples

fm1 <- lme(distance ~ Sex * age, Orthodont, random = ~ age, method = "ML")
logLik(fm1)
logLik(fm1, REML = TRUE)
[Package nlme version 3.1-80 Index]