methods.kppm

From spatstat v1.42-2 by Adrian Baddeley

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)
## 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.

Examples

data(redwood)
  fit <- kppm(redwood, ~x, "MatClust")
  coef(fit)
  formula(fit)
  tf <- terms(fit)
  labels(fit)

Documentation reproduced from package spatstat, version 1.42-2, License: GPL (>= 2)

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