logLik.ppm.Rd
\name{logLik.ppm}
\alias{logLik.ppm}
\title{Log Likelihood for Poisson Point Process Model}
\description{
Extracts the log likelihood of a fitted Poisson point process model.
}
\usage{
\method{logLik}{ppm}(object, ...)
}
\arguments{
\item{object}{Fitted point process model.
An object of class \code{"ppm"}.
}
\item{\dots}{Ignored.}
}
\details{
The maximised value of the log likelihood for the fitted model
(as approximated by quadrature using the Berman-Turner approximation)
is extracted.
If \code{object} is not a Poisson process, the maximised log
\emph{pseudolikelihood} is returned, with a warning.
}
\value{
A numerical value.
}
\seealso{
\code{\link{ppm}}
}
\author{Adrian Baddeley
\email{adrian@maths.uwa.edu.au}
\url{http://www.maths.uwa.edu.au/~adrian/}
and Rolf Turner
\email{r.turner@auckland.ac.nz}
}
\examples{
data(cells)
fit <- ppm(cells, ~x)
logLik(fit)
AIC(fit)
}
\keyword{spatial}
\keyword{models}