spatstat (version 1.42-2)

methods.lppm: Methods for Fitted Point Process Models on a Linear Network

Description

These are methods for the class "lppm" of fitted point process models on a linear network.

Usage

## S3 method for class 'lppm':
coef(object, ...)
  ## S3 method for class 'lppm':
extractAIC(fit, ...)
  ## S3 method for class 'lppm':
formula(x, ...)
  ## S3 method for class 'lppm':
logLik(object, ...)
  ## S3 method for class 'lppm':
nobs(object, ...)
  ## S3 method for class 'lppm':
print(x, ...)
  ## S3 method for class 'lppm':
summary(object, ...)
  ## S3 method for class 'lppm':
terms(x, ...)
  ## S3 method for class 'lppm':
update(object, ...)
  ## S3 method for class 'lppm':
vcov(object, ...)
  ## S3 method for class 'lppm':
as.linnet(X, ...)

Arguments

object,fit,x,X

An object of class "lppm" representing a fitted point process model on a linear network.

...

Arguments passed to other methods, usually the method for the class "ppm".

Value

• See the default methods.

Details

These are methods for the generic commands coef, extractAIC, formula, logLik, nobs, print, summary, terms, update and vcov for the class "lppm".

See Also

lppm, plot.lppm.

Examples

example(lpp)
  fit <- lppm(X, ~x)
  print(fit)
  coef(fit)
  formula(fit)
  terms(fit)
  logLik(fit)
  nobs(fit)
  extractAIC(fit)
  update(fit, ~1)
  vcov(fit)