# predict.kppm

From spatstat v1.37-0
by Adrian Baddeley

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

Given a fitted cluster point process model, these functions compute the fitted intensity.

##### Usage

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

##### Arguments

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

. - ...
- Arguments passed to
`fitted.ppm`

or`predict.ppm`

respectively.

##### Details

These functions are methods for the generic functions
`fitted`

and `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 `fitted.ppm`

or
`predict.ppm`

respectively.

##### Value

- The value of
`fitted.kppm`

is a numeric vector giving the fitted values at the quadrature points.The value of

`predict.kppm`

is 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 1.37-0, License: GPL (>= 2)*

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