spatstat.core (version 1.65-5)

zclustermodel: 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.

Value

Object of the experimental class "zclustermodel".

Details

Experimental.

See Also

methods.zclustermodel

Examples

# NOT RUN {
  m <- zclustermodel("Thomas", kappa=10, mu=5, scale=0.1)
# }