spatstat (version 1.31-3)

methods.slrm: Methods for Spatial Logistic Regression Models

Description

These are methods for the class "slrm".

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.

Value

• See the help files for the corresponding generic functions.

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.

See Also

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

Examples

data(redwood)
  fit <- slrm(redwood ~ x)
  coef(fit)
  formula(fit)
  tf <- terms(fit)  
  labels(fit)