spatstat (version 1.25-4)

predict.kppm: Prediction from a Fitted Cluster Point Process Model

Description

Given a fitted cluster point process model, this function computes the fitted intensity.

Usage

## S3 method for class 'kppm':
predict(object, ...)

Arguments

object
Fitted cluster point process model. An object of class "kppm".
...
Arguments passed to predict.ppm.

Value

  • Usually a pixel image (object of class "im"), but see predict.ppm for details.

Details

This is a method for the generic function 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 predict.ppm.

See Also

kppm, plot.kppm, vcov.kppm, predict.ppm

Examples

Run this code
data(redwood)
  fit <- kppm(redwood, ~x, "Thomas")
  predict(fit)

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