Analysis of Deviance for Spatial Logistic Regression Models
Performs Analysis of Deviance for two or more fitted Spatial Logistic Regression models.
## S3 method for class 'slrm': anova(object, ..., test = NULL)
- a fitted spatial logistic regression model.
An object of class
- additional objects of the same type (optional).
- a character string, (partially) matching one of
"Cp", indicating the reference distribution that should be used to compute $p$-values.
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
- An object of class
"anova", inheriting from class
"data.frame", representing the analysis of deviance table.
X <- rpoispp(42) fit0 <- slrm(X ~ 1) fit1 <- slrm(X ~ x+y) anova(fit0, fit1, test="Chi")