methods.slrm

From spatstat v1.61-0 by Adrian Baddeley

Methods for Spatial Logistic Regression Models

These are methods for the class "slrm".

Keywords: methods, spatial

Usage

# S3 method for slrm
formula(x, …)
# S3 method for slrm
print(x, ...)
# S3 method for slrm
terms(x, …)
# S3 method for slrm
labels(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.

Details

These functions are methods for the generic commands formula, update, 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.

Examples

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

Documentation reproduced from package spatstat, version 1.61-0, License: GPL (>= 2)

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