zclustermodel: Cluster Point Process Model

In spatstat.model: Parametric Statistical Modelling and Inference for the 'spatstat' Family

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

See Also

methods.zclustermodel

Examples

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

spatstat.model documentation built on Sept. 30, 2024, 9:26 a.m.