anova.slrm

From spatstat v1.31-3 by Adrian Baddeley

Analysis of Deviance for Spatial Logistic Regression Models

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

Keywords: models, methods, spatial

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.

Examples

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

Documentation reproduced from package spatstat, version 1.31-3, License: GPL (>= 2)

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