# predict.kppm

##### 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 kppm
fitted(object, ...)
``` # S3 method for 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

```
# NOT RUN {
data(redwood)
fit <- kppm(redwood ~ x, "Thomas")
predict(fit)
# }
```

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