# fitted.slrm

From spatstat v1.49-0
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 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

```
# NOT RUN {
X <- rpoispp(42)
fit <- slrm(X ~ x+y)
plot(fitted(fit))
# }
```

*Documentation reproduced from package spatstat, version 1.49-0, License: GPL (>= 2)*

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