K Function or Pair Correlation Function of Cluster Model or Cox model
Returns the theoretical K function or the pair correlation function of a cluster point process model or Cox point process model.
## S3 method for class 'kppm' Kmodel(model, ...) ## S3 method for class 'kppm' pcfmodel(model, ...)
model |
A fitted cluster point process model (object of
class |
... |
Ignored. |
For certain types of point process models, it is possible to
write down a mathematical expression for the K function
or the pair correlation function of the model. In particular this
is possible for a fitted cluster point process model
(object of class "kppm" obtained from kppm).
The return value is a function in the R language,
which takes one argument r.
Evaluation of this function, on a numeric vector r,
yields values of the desired K function or pair correlation
function at these distance values.
A function in the R language,
which takes one argument r.
Adrian Baddeley Adrian.Baddeley@curtin.edu.au
and Rolf Turner r.turner@auckland.ac.nz
kppm to fit cluster models.
Kmodel for the generic functions.
Kmodel.ppm for the method for Gibbs processes.
data(redwood) fit <- kppm(redwood, ~x, "MatClust") K <- Kmodel(fit) K(c(0.1, 0.2)) curve(K(x), from=0, to=0.25)
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