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
orpredict.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)
# }