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.
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.
See Also
Examples
X <- rpoispp(42)
fit0 <- slrm(X ~ 1)
fit1 <- slrm(X ~ x+y)
anova(fit0, fit1, test="Chi")
Community examples
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