Methods for Cluster Point Process Models
These are methods for the class "kppm".
## S3 method for class 'kppm' coef(object, ...) ## S3 method for class 'kppm' formula(x, ...) ## S3 method for class 'kppm' print(x, ...) ## S3 method for class 'kppm' terms(x, ...) ## S3 method for class 'kppm' labels(object, ...)
x,object |
An object of class |
... |
Arguments passed to other methods. |
An object of class "kppm" represents a fitted
cluster point process model. It is obtained from kppm.
The method coef.kppm returns the vector of
regression coefficients of the fitted model.
It does not return the clustering parameters.
See the help files for the corresponding generic functions.
Adrian Baddeley Adrian.Baddeley@curtin.edu.au
data(redwood) fit <- kppm(redwood ~ x, "MatClust") coef(fit) formula(fit) tf <- terms(fit) labels(fit)
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