# anova.slrm

From spatstat v1.37-0
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")
```

*Documentation reproduced from package spatstat, version 1.37-0, License: GPL (>= 2)*

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