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 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, ...)

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".

Details

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

Value

See the default methods.

See Also

lppm, plot.lppm.

Aliases
  • methods.lppm
  • coef.lppm
  • emend.lppm
  • extractAIC.lppm
  • formula.lppm
  • logLik.lppm
  • deviance.lppm
  • nobs.lppm
  • print.lppm
  • summary.lppm
  • terms.lppm
  • update.lppm
  • valid.lppm
  • vcov.lppm
  • as.linnet.lppm
Examples
# NOT RUN {
  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)
# }
Documentation reproduced from package spatstat, version 1.61-0, License: GPL (>= 2)

Community examples

Looks like there are no examples yet.