https://github.com/cran/forecast
Revision 86d33bd75b36abd03d84251239e71432241baa37 authored by Rob J Hyndman on 23 September 2011, 00:00:00 UTC, committed by Gabor Csardi on 23 September 2011, 00:00:00 UTC
1 parent 0a203a4
Tip revision: 86d33bd75b36abd03d84251239e71432241baa37 authored by Rob J Hyndman on 23 September 2011, 00:00:00 UTC
version 3.04
version 3.04
Tip revision: 86d33bd
logLikets.Rd
\name{logLik.ets}
\alias{logLik.ets}
\title{Log-Likelihood of an ets object}
\usage{
\method{logLik}{ets}(object, ...)
}
\arguments{
\item{object}{an object of class \code{ets}, representing an exponential smoothing state space model.}
\item{...}{some methods for this generic require additional arguments. None are used in this method.}
}
\description{Returns the log-likelihood of the ets model represented by \code{object} evaluated at the estimated parameters.}
\value{the log-likelihood of the model represented by \code{object} evaluated at the estimated parameters.}
\references{Hyndman, R.J., Koehler, A.B., Ord, J.K., and Snyder, R.D. (2008)
\emph{Forecasting with exponential smoothing: the state space approach},
Springer-Verlag. \url{http://www.exponentialsmoothing.net}.
}
\seealso{\code{\link{ets}}}
\author{Rob J Hyndman}
\examples{fit <- ets(USAccDeaths)
logLik(fit)
}
\keyword{ts}
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