| anova.slrm {spatstat.model} | R Documentation |
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 |
... |
additional objects of the same type (optional). |
test |
a character string, (partially) matching one of
|
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 Baddeley Adrian.Baddeley@curtin.edu.au and Rolf Turner rolfturner@posteo.net
See Also
Examples
X <- rpoispp(42)
fit0 <- slrm(X ~ 1)
fit1 <- slrm(X ~ x+y)
anova(fit0, fit1, test="Chi")