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'
emend(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'
deviance(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'
valid(object, ...)

  ## S3 method for class 'lppm'
vcov(object, ...)

  ## S3 method for class 'lppm'
as.linnet(X, ...)

  ## S3 method for class 'lppm'
response(object)

Arguments

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".

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.

Author(s)

Adrian Baddeley Adrian.Baddeley@curtin.edu.au, Rolf Turner r.turner@auckland.ac.nz and Ege Rubak rubak@math.aau.dk.

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)