spatstat.core (version 2.3-1)

methods.slrm: Methods for Spatial Logistic Regression Models

Description

These are methods for the class "slrm".

Usage

# S3 method for slrm
formula(x, …)
# S3 method for slrm
print(x, ...)
# S3 method for slrm
summary(object, ...)
# S3 method for slrm
terms(x, …)
# S3 method for slrm
labels(object, …)
# S3 method for slrm
deviance(object, …)
# S3 method for slrm
update(object, …, evaluate = TRUE, env = parent.frame())

Arguments

x,object

An object of class "slrm", representing a fitted spatial logistic regression model.

…

Arguments passed to other methods.

evaluate

Logical value. If TRUE, evaluate the updated call to slrm, so that the model is refitted; if FALSE, simply return the updated call.

env

Optional environment in which the model should be updated.

Value

See the help files for the corresponding generic functions.

Details

These functions are methods for the generic commands formula, update, print, summary, terms, labels and deviance 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, vcov.slrm, coef.slrm.

Examples

# NOT RUN {
  fit <- slrm(redwood ~ x)
  coef(fit)
  formula(fit)
  tf <- terms(fit)  
  labels(fit)
  deviance(fit) 
# }