methods.kppm

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Methods for Cluster Point Process Models

These are methods for the class "kppm".

Keywords
methods, spatial
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)
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 and terms 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.

Aliases
  • methods.kppm
  • coef.kppm
  • formula.kppm
  • print.kppm
  • terms.kppm
Examples
data(redwood)
  fit <- kppm(redwood, ~x, "MatClust")
  coef(fit)
  formula(fit)
  terms(fit)
Documentation reproduced from package spatstat, version 1.25-1, License: GPL (>= 2)

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