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

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

object

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

.

…

Arguments passed to `fitted.ppm`

or
`predict.ppm`

respectively.

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.

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.

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