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)
gls
, representing
a generalized least squares fitted linear model.
TRUE
the restricted
log-likelihood is returned, else, if
FALSE
, the log-likelihood
is returned. Defaults to
FALSE
.
object
evaluated at the estimated coefficients.
Harville, D.A. (1974) "Bayesian Inference for Variance Components Using Only Error Contrasts", Biometrika, 61, 383-385.
fm1 <- gls(follicles ~ sin(2*pi*Time) + cos(2*pi*Time), Ovary, correlation = corAR1(form = ~ 1 | Mare)) logLik(fm1) logLik(fm1, REML = FALSE)