# predict.dppm

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

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

##### Usage

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

##### Arguments

- object
Fitted determinantal point process model. An object of class

`"dppm"`

.- …
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 determinantal point process model
(object of class `"dppm"`

) obtained using
the function `dppm`

.

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

or
`predict.ppm`

respectively.

##### Value

The value of `fitted.dppm`

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

The value of `predict.dppm`

is usually a pixel image
(object of class `"im"`

), but see `predict.ppm`

for details.

##### See Also

##### Examples

```
# NOT RUN {
fit <- dppm(swedishpines ~ x + y, dppGauss())
predict(fit)
# }
```

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