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")