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

In spatstat.model: Parametric Statistical Modelling and Inference for 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

and \rolf

See Also

slrm

Examples

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

spatstat.model documentation built on Sept. 30, 2024, 9:26 a.m.