fitted.slrm.Rd
\name{fitted.slrm}
\Rdversion{1.1}
\alias{fitted.slrm}
\title{
Fitted Probabilities for Spatial Logistic Regression
}
\description{
Given a fitted Spatial Logistic Regression model,
this function computes the fitted probabilities for each pixel.
}
\usage{
\method{fitted}{slrm}(object, ...)
}
\arguments{
\item{object}{
a fitted spatial logistic regression model.
An object of class \code{"slrm"}.
}
\item{\dots}{
Ignored.
}
}
\details{
This is a method for the generic function
\code{\link[stats:fitted.values]{fitted}}
for spatial logistic regression models
(objects of class \code{"slrm"}, usually obtained
from the function \code{\link{slrm}}).
The algorithm computes
the fitted probabilities of the presence of a random point in each pixel.
}
\value{
A pixel image (object of class \code{"im"}) containing the
fitted probability for each pixel.
}
\seealso{
\code{\link{slrm}},
\code{\link[stats:fitted.values]{fitted}}
}
\examples{
X <- rpoispp(42)
fit <- slrm(X ~ x+y)
plot(fitted(fit))
}
\author{\adrian
\email{adrian@maths.uwa.edu.au}
and \rolf
}
\keyword{spatial}
\keyword{models}
\keyword{methods}