methods.lppm

0th

Percentile

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.

See Also

lppm

Aliases
  • methods.lppm
  • coef.lppm
  • extractAIC.lppm
  • formula.lppm
  • logLik.lppm
  • print.lppm
  • plot.lppm
  • terms.lppm
  • update.lppm
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 1.27-0, License: GPL (>= 2)

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