logLik.lme: Log-Likelihood of an lme Object

In nlme: Linear and Nonlinear Mixed Effects Models

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 the method of estimation used, that is TRUE if and only object was fitted with method = "REML" (the default for these fitting functions) .
...	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)

José 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)

nlme documentation built on Nov. 27, 2023, 5:09 p.m.