R: Cluster Point Process Model

zclustermodel {spatstat.core} | R Documentation

## Cluster Point Process Model

### Description

Experimental code. Creates an object representing a cluster point process model. Typically used for theoretical calculations about such a model.

### Usage

    zclustermodel(name = "Thomas", ..., mu, kappa, scale)

### Arguments

`name` | Name of the cluster process. One of `"Thomas"`, `"MatClust"`, `"VarGamma"` or `"Cauchy"`.
`...` | Other arguments needed for the model.
`mu` | Mean cluster size. A single number, or a pixel image.
`kappa` | Parent intensity. A single number.
`scale` | Cluster scale parameter of the model.

### Details

Experimental.

### Value

Object of the experimental class `"zclustermodel"`.

### Author(s)

Adrian Baddeley Adrian.Baddeley@curtin.edu.au

### See Also

`methods.zclustermodel`

### Examples

      m <- zclustermodel("Thomas", kappa=10, mu=5, scale=0.1)

[Package spatstat.core version 1.65-5 Index]