spatstat (version 1.42-2)

clusterkernel: Extract Cluster Offspring Kernel

Description

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

Usage

clusterkernel(model, ...)

## S3 method for class 'kppm': clusterkernel(model, \dots)

## S3 method for class 'character': clusterkernel(model, \dots)

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.

Value

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

Details

Given a specification of 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.

See Also

clusterfield, kppm

Examples

Run this code
fit <- kppm(redwood ~ x, "MatClust")
  f <- clusterkernel(fit)
  f(0.1, 0.2)

Run the code above in your browser using DataCamp Workspace