logLik.lm {nlme} | R Documentation |
If REML=FALSE
, returns the log-likelihood value of the linear
model represented by object
evaluated at the estimated
coefficients; else, the restricted log-likelihood evaluated at the
estimated coefficients is returned.
logLik(object, REML)
object |
an object inheriting from class lm . |
REML |
an optional logical value. If TRUE the restricted
log-likelihood is returned, else, if FALSE , the log-likelihood
is returned. Defaults to FALSE . |
the (restricted) log-likelihood of the linear model represented by
object
evaluated at the estimated coefficients.
Jose Pinheiro and Douglas Bates
Harville, D.A. (1974) "Bayesian Inference for Variance Components Using Only Error Contrasts", Biometrika, 61, 383-385.
data(Orthodont) fm1 <- lm(distance ~ Sex * age, Orthodont) logLik(fm1) logLik(fm1, REML = TRUE)