methods.kppm
From spatstat v1.42-2
by Adrian Baddeley
Methods for Cluster Point Process Models
These are methods for the class "kppm"
.
Usage
## S3 method for class 'kppm':
coef(object, \dots)
## S3 method for class 'kppm':
formula(x, \dots)
## S3 method for class 'kppm':
print(x, ...)
## S3 method for class 'kppm':
terms(x, \dots)
## S3 method for class 'kppm':
labels(object, \dots)
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
data(redwood)
fit <- kppm(redwood, ~x, "MatClust")
coef(fit)
formula(fit)
tf <- terms(fit)
labels(fit)
Community examples
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