spatstat.linnet (version 3.2-2)

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 lppm
coef(object, ...)
  # S3 method for lppm
emend(object, ...)
  # S3 method for lppm
extractAIC(fit, ...)
  # S3 method for lppm
formula(x, ...)
  # S3 method for lppm
logLik(object, ...)
  # S3 method for lppm
deviance(object, ...)
  # S3 method for lppm
nobs(object, ...)
  # S3 method for lppm
print(x, ...)
  # S3 method for lppm
summary(object, ...)
  # S3 method for lppm
terms(x, ...)
  # S3 method for lppm
update(object, ...)
  # S3 method for lppm
valid(object, ...)
  # S3 method for lppm
vcov(object, ...)
  # S3 method for lppm
as.linnet(X, ...)
  # S3 method for lppm
response(object)

Value

For as.linnet.lppm a linear network (object of class "linnet"). For emend.lppm another fitted model of the same class "lppm". For response.lppm a spatial point pattern on a linear network (object of class "lpp"). For valid.lppm a logical value.

For the other methods, see the help for the default methods.

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".

Author

Adrian Baddeley , Rolf Turner and Ege Rubak .

Details

These are methods for the R generic commands coef, extractAIC, formula, logLik, deviance, nobs, print, summary, terms, update and vcov, and the spatstat generic commands as.linnet, emend, response and valid, for the class "lppm".

See Also

lppm, plot.lppm.

Examples

  X <- runiflpp(15, simplenet)
  fit <- lppm(X ~ x)
  print(fit)
  coef(fit)
  formula(fit)
  terms(fit)
  logLik(fit)
  deviance(fit)
  nobs(fit)
  extractAIC(fit)
  update(fit, ~1)
  valid(fit)
  vcov(fit)
  response(fit)