logLik.gls {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 gls , representing
a generalized least squares fitted linear 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. |
the (restricted) log-likelihood of the linear model represented by
object
evaluated at the estimated coefficients.
Jose Pinheiro Jose.Pinheiro@pharma.novartis.com and Douglas Bates bates@stat.wisc.edu
Harville, D.A. (1974) "Bayesian Inference for Variance Components Using Only Error Contrasts", Biometrika, 61, 383-385.
data(Ovary) fm1 <- gls(follicles ~ sin(2*pi*Time) + cos(2*pi*Time), Ovary, correlation = corAR1(form = ~ 1 | Mare)) logLik(fm1) logLik(fm1, REML = FALSE)