predict.kppm
From spatstat v1.36-0
by Adrian Baddeley
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 class 'kppm':
fitted(object, ...) ## S3 method for class '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 seepredict.ppm
for details.
See Also
Examples
data(redwood)
fit <- kppm(redwood, ~x, "Thomas")
predict(fit)
Community examples
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