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.ppmorpredict.ppmrespectively.
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)
# }