methods.slrm: Methods for Spatial Logistic Regression Models

In spatstat.core: Core Functionality of the 'spatstat' Family

Methods for Spatial Logistic Regression Models

Description

These are methods for the class "slrm".

Usage

## S3 method for class 'slrm'
formula(x, ...)
## S3 method for class 'slrm'
print(x, ...)
## S3 method for class 'slrm'
summary(object, ...)
## S3 method for class 'slrm'
terms(x, ...)
## S3 method for class 'slrm'
labels(object, ...)
## S3 method for class 'slrm'
deviance(object, ...)
## S3 method for class '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, 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.

Value

See the help files for the corresponding generic functions.

Author(s)

\adrian

See Also

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

Examples

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

spatstat.core documentation built on May 18, 2022, 9:05 a.m.