Extract Fitted Point Process Model
Extracts the fitted point process model from some kind of fitted model.
as.ppm(object) ## S3 method for class 'ppm' as.ppm(object) ## S3 method for class 'profilepl' as.ppm(object) ## S3 method for class 'kppm' as.ppm(object) ## S3 method for class 'dppm' as.ppm(object)
object |
An object that includes a
fitted Poisson or Gibbs point process model.
An object of class |
The function as.ppm extracts
the fitted point process model (of class "ppm")
from a suitable object.
The function as.ppm is generic, with methods for the classes
"ppm", "profilepl", "kppm" and "dppm",
and possibly for other classes.
For the class "profilepl" of models fitted by maximum profile
pseudolikelihood, the method as.ppm.profilepl extracts the
fitted point process model (with the optimal values of the
irregular parameters).
For the class "kppm" of models fitted by minimum contrast (or Palm or composite likelihood)
using Waagepetersen's two-step estimation procedure
(see kppm), the method as.ppm.kppm
extracts the Poisson point process model that is fitted in the
first stage of the procedure.
The behaviour for the class "dppm" is analogous to the "kppm" case above.
An object of class "ppm".
Adrian Baddeley Adrian.Baddeley@curtin.edu.au
Rolf Turner r.turner@auckland.ac.nz
and Ege Rubak rubak@math.aau.dk
# fit a model by profile maximum pseudolikelihood rvals <- data.frame(r=(1:10)/100) pfit <- profilepl(rvals, Strauss, cells, ~1) # extract the fitted model fit <- as.ppm(pfit)
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