methods.kppm
From spatstat v1.64-1
by Adrian Baddeley
Methods for Cluster Point Process Models
These are methods for the class "kppm".
Usage
# S3 method for kppm
coef(object, …)
# S3 method for kppm
formula(x, …)
# S3 method for kppm
print(x, ...)
# S3 method for kppm
terms(x, …)
# S3 method for kppm
labels(object, …)Arguments
- x,object
An object of class
"kppm", representing a fitted cluster point process model.- …
Arguments passed to other methods.
Details
These functions are methods for the generic commands
coef,
formula,
print,
terms and
labels
for the class "kppm".
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.
Value
See the help files for the corresponding generic functions.
See Also
kppm, plot.kppm,
predict.kppm, simulate.kppm,
update.kppm, vcov.kppm,
as.ppm.kppm.
Examples
# NOT RUN {
data(redwood)
fit <- kppm(redwood ~ x, "MatClust")
coef(fit)
formula(fit)
tf <- terms(fit)
labels(fit)
# }
Community examples
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