Prediction from a Fitted Determinantal Point Process Model
Given a fitted determinantal point process model, these functions compute the fitted intensity.
## S3 method for class 'dppm' fitted(object, ...) ## S3 method for class 'dppm' predict(object, ...)
object |
Fitted determinantal point process model.
An object of class |
... |
Arguments passed to |
The intensity of the fitted model
is computed, using fitted.ppm or
predict.ppm respectively.
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.
Adrian Baddeley Adrian.Baddeley@curtin.edu.au, Rolf Turner r.turner@auckland.ac.nz and Ege Rubak rubak@math.aau.dk.
if(interactive()) {
fit <- dppm(swedishpines ~ x + y, dppGauss())
} else {
fit <- dppm(redwood ~ x, dppGauss())
}
predict(fit)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.