# predict.kppm

From spatstat v1.19-1
by Adrian Baddeley

##### Prediction from a Fitted Cluster Point Process Model

Given a fitted cluster point process model, this function computes the fitted intensity of the model.

##### Usage

```
## S3 method for class 'kppm':
predict(object, ...)
```

##### Arguments

- object
- Fitted cluster point process model.
An object of class
`"kppm"`

. - ...
- Arguments passed to
`predict.ppm`

.

##### Details

This is a method for the generic function `predict`

.
The argument `object`

should be a cluster point process model
(object of class `"kppm"`

) obtained using
the function `kppm`

.

Prediction computes the *intensity* of the fitted model.
The algorithm calls `predict.ppm`

to compute the
intensity.

##### Value

- Usually a pixel image (object of class
`"im"`

).

##### See Also

##### Examples

```
data(redwood)
fit <- kppm(redwood, ~x, "Thomas")
v <- predict(fit)
```

*Documentation reproduced from package spatstat, version 1.19-1, License: GPL (>= 2)*

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