methods.slrm

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Methods for Spatial Logistic Regression Models

These are methods for the class "slrm".

Keywords
methods, spatial
Usage
## S3 method for class 'slrm':
formula(x, \dots)
## S3 method for class 'slrm':
print(x, ...)
## S3 method for class 'slrm':
terms(x, \dots)
## S3 method for class 'slrm':
labels(object, \dots)
Arguments
x,object
An object of class "slrm", representing a fitted cluster point process model.
...
Arguments passed to other methods.
Details

These functions are methods for the generic commands formula, print, terms and labels for the class "slrm".

An object of class "slrm" represents a fitted spatial logistic regression model. It is obtained from slrm.

Value

  • See the help files for the corresponding generic functions.

See Also

slrm, plot.slrm, predict.slrm, simulate.slrm, update.slrm, vcov.slrm, coef.slrm.

Aliases
  • methods.slrm
  • formula.slrm
  • print.slrm
  • terms.slrm
  • labels.slrm
Examples
data(redwood)
  fit <- slrm(redwood ~ x)
  coef(fit)
  formula(fit)
  tf <- terms(fit)  
  labels(fit)
Documentation reproduced from package spatstat, version 1.29-0, License: GPL (>= 2)

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