spatstat.model (version 3.3-1)

clusterkernel.kppm: Extract Cluster Offspring Kernel

Description

Given a fitted cluster point process model, this command returns the probability density of the cluster offspring.

Usage

# S3 method for kppm
clusterkernel(model, ...)

Value

A function in the R language with arguments x,y,....

Arguments

model

Cluster model. Either a fitted cluster or Cox model (object of class "kppm"), or a character string specifying the type of cluster model.

...

Parameter values for the model, when model is a character string.

Author

Adrian Baddeley , Rolf Turner and Ege Rubak .

Details

Given a cluster point process model, this command returns a function(x,y) giving the two-dimensional probability density of the cluster offspring points assuming a cluster parent located at the origin.

The function clusterkernel is generic, with methods for class "kppm" (described here) and "character" (described in clusterkernel.character).

See Also

clusterkernel.character, clusterfield, kppm

Examples

  fit <- kppm(redwood ~ x, "MatClust")
  f <- clusterkernel(fit)
  f(0.05, 0.02)