methods.lppm

From spatstat v1.24-1 by Adrian Baddeley

Methods for Fitted Point Process Models on a Linear Network

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

Keywords: models, spatial

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':
plot(x, ..., type="trend")
  ## S3 method for class 'lppm':
print(x, ...)
  ## S3 method for class 'lppm':
terms(x, ...)
  ## S3 method for class 'lppm':
update(object, ...)

Arguments

object,fit,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".
type: Character string (either "trend" or "cif") determining whether to plot the fitted first order trend or the conditional intensity.

Details

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

Value

See the default methods.

Examples

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

Documentation reproduced from package spatstat, version 1.24-1, License: GPL (>= 2)

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