# anova.slrm

##### 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 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

```
# NOT RUN {
X <- rpoispp(42)
fit0 <- slrm(X ~ 1)
fit1 <- slrm(X ~ x+y)
anova(fit0, fit1, test="Chi")
# }
```

*Documentation reproduced from package spatstat, version 1.61-0, License: GPL (>= 2)*