K function of a model

Description

Returns the theoretical K function or the pair correlation function of a point process model.

Usage

   Kmodel(model, ...)
   pcfmodel(model, ...)
   ## S3 method for class 'kppm'
Kmodel(model, ...)
   ## S3 method for class 'kppm'
pcfmodel(model, ...)

Arguments

Details

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 functions Kmodel and pcfmodel are generic. Currently the only method is for the class "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.

Value

A function in the R language, which takes one argument r.

Author(s)

Adrian Baddeley Adrian.Baddeley@csiro.au http://www.maths.uwa.edu.au/~adrian/ and Rolf Turner r.turner@auckland.ac.nz

See Also

kppm, Kest, pcf

Examples

  data(redwood)
  fit <- kppm(redwood, ~x, "MatClust")
  K <- Kmodel(fit)
  K(c(0.1, 0.2))
  curve(K(x), from=0, to=0.25)