spatstat (version 1.31-2)

anova.slrm: 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.

Value

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

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.

See Also

slrm

Examples

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