spatstat (version 1.64-1)

methods.kppm: Methods for Cluster Point Process Models

Description

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.

Value

See the help files for the corresponding generic functions.

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.

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)
# }