# fitted.slrm

From spatstat v1.23-2
by Adrian Baddeley

##### Fitted Probabilities for Spatial Logistic Regression

Given a fitted Spatial Logistic Regression model, this function computes the fitted probabilities for each pixel.

##### Usage

```
## S3 method for class 'slrm':
fitted(object, ...)
```

##### Arguments

- object
- a fitted spatial logistic regression model.
An object of class
`"slrm"`

. - ...
- Ignored.

##### Details

This is a method for the generic function
`fitted`

for spatial logistic regression models
(objects of class `"slrm"`

, usually obtained
from the function `slrm`

).

The algorithm computes the fitted probabilities of the presence of a random point in each pixel.

##### Value

- A pixel image (object of class
`"im"`

) containing the fitted probability for each pixel.

##### See Also

##### Examples

```
X <- rpoispp(42)
fit <- slrm(X ~ x+y)
plot(fitted(fit))
```

*Documentation reproduced from package spatstat, version 1.23-2, License: GPL (>= 2)*

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