Extract Cluster Offspring Kernel
Given a cluster point process model, this command returns the probability density of the cluster offspring.
clusterkernel(model, ...) ## S3 method for class 'kppm' clusterkernel(model, ...) ## S3 method for class 'character' clusterkernel(model, ...)
model |
Cluster model. Either a fitted cluster or Cox model
(object of class |
... |
Parameter values for the model,
when |
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.
A function in the R language with arguments x,y,...
.
Adrian Baddeley Adrian.Baddeley@curtin.edu.au
Rolf Turner r.turner@auckland.ac.nz
and Ege Rubak rubak@math.aau.dk
fit <- kppm(redwood ~ x, "MatClust") f <- clusterkernel(fit) f(0.1, 0.2)
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