logLik.lm {base} | 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 . |
... |
further arguments to be passed to or from methods. |
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, 383385.
data(attitude) (fm1 <- lm(rating ~ ., data = attitude)) logLik(fm1) logLik(fm1, REML = TRUE) Nnlme <- is.na(match("package:nlme", search())) if(require(nlme)) { data(Orthodont) fm1 <- lm(distance ~ Sex * age, Orthodont) print(logLik(fm1)) print(logLik(fm1, REML = TRUE)) if(Nnlme) detach( "package:nlme") }