spatstat (version 1.62-2)

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, ...)

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".

Value

See the default methods.

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".

See Also

lppm, plot.lppm.

Examples

Run this code
# 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)
# }

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