anova.slrm: Analysis of Deviance for Spatial Logistic Regression Models

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

Analysis of Deviance for Spatial Logistic Regression Models

Description

Performs Analysis of Deviance for two or more fitted Spatial Logistic Regression models.

Usage

  ## S3 method for class 'slrm'
anova(object, ..., test = NULL)

Arguments

object	a fitted spatial logistic regression model. An object of class "slrm".
...	additional objects of the same type (optional).
test	a character string, (partially) matching one of "Chisq", "F" or "Cp", indicating the reference distribution that should be used to compute p-values.

Details

This is a method for anova for fitted spatial logistic regression models (objects of class "slrm", usually obtained from the function slrm).

The output shows the deviance differences (i.e. 2 times log likelihood ratio), the difference in degrees of freedom, and (if test="Chi") the two-sided p-values for the chi-squared tests. Their interpretation is very similar to that in anova.glm.

Value

An object of class "anova", inheriting from class "data.frame", representing the analysis of deviance table.

Author(s)

\adrian

[e-mail]

and \rolf

See Also

slrm

Examples

  X <- rpoispp(42)
  fit0 <- slrm(X ~ 1)
  fit1 <- slrm(X ~ x+y)
  anova(fit0, fit1, test="Chi")

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