predict.kppm
Prediction from a Fitted Cluster Point Process Model
Given a fitted cluster point process model, these functions compute the fitted intensity.
Usage
# S3 method for kppm
fitted(object, ...) # S3 method for kppm
predict(object, ...)
Arguments
- object
Fitted cluster point process model. An object of class
"kppm"
.- …
Arguments passed to
fitted.ppm
orpredict.ppm
respectively.
Details
These functions are methods for the generic functions
fitted
and predict
.
The argument object
should be a cluster point process model
(object of class "kppm"
) obtained using
the function kppm
.
The intensity of the fitted model
is computed, using fitted.ppm
or
predict.ppm
respectively.
Value
The value of fitted.kppm
is a numeric vector
giving the fitted values at the quadrature points.
The value of predict.kppm
is usually a pixel image
(object of class "im"
), but see predict.ppm
for details.
See Also
Examples
# NOT RUN {
data(redwood)
fit <- kppm(redwood ~ x, "Thomas")
predict(fit)
# }