| clusterkernel {spatstat.random} | 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 'character'
clusterkernel(model, ...)
Arguments
model |
Cluster model. Either a fitted cluster or Cox model
(object of class |
... |
Parameter values for the model,
when |
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.
The function clusterkernel is generic,
with methods for class "character" (described here)
and "kppm" (described in clusterkernel.kppm).
Value
A function in the R language with arguments x,y,....
Author(s)
Adrian Baddeley Adrian.Baddeley@curtin.edu.au, Rolf Turner rolfturner@posteo.net and Ege Rubak rubak@math.aau.dk.
See Also
clusterkernel.kppm),
clusterfield, kppm.
Examples
f <- clusterkernel("Thomas", kappa=10, scale=0.5)
f(0.1, 0.2)