# predict.kppm

From spatstat v1.24-1
by Adrian Baddeley

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

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

##### 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`

.
The *intensity* of the fitted model
is computed, using `predict.ppm`

.

##### Value

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

), but see`predict.ppm`

for details.

##### See Also

##### Examples

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

*Documentation reproduced from package spatstat, version 1.24-1, License: GPL (>= 2)*

### Community examples

Looks like there are no examples yet.