clusterkernel.kppm: Extract Cluster Offspring Kernel

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

Extract Cluster Offspring Kernel

Description

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

Usage

## S3 method for class 'kppm'
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 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.

The function clusterkernel is generic, with methods for class "kppm" (described here) and "character" (described in clusterkernel.character).

Value

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

Author(s)

\spatstatAuthors

.

See Also

clusterkernel.character, clusterfield, kppm

Examples

  fit <- kppm(redwood ~ x, "MatClust")
  f <- clusterkernel(fit)
  f(0.05, 0.02)

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