R: Extract Cluster Offspring Kernel

clusterkernel {spatstat} | R Documentation

## 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, ...)

    ## S3 method for class 'character'
    clusterkernel(model, ...)

### 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.

### 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.

### Value

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

### Author(s)

Adrian Baddeley Adrian.Baddeley@curtin.edu.au

Rolf Turner r.turner@auckland.ac.nz

and Ege Rubak rubak@math.aau.dk

### See Also

`clusterfield`, `kppm`

### Examples

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

[Package spatstat version 1.54-0 Index]