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.ppmorpredict.ppmrespectively.
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)
# }