rdpp

0th

Percentile

Simulation of a Determinantal Point Process

Generates simulated realisations from a determinantal point process.

Keywords
models, spatial, datagen
Usage
rdpp(eig, index, basis = "fourierbasis",
       window = boxx(rep(list(0:1), ncol(index))),
       reject_max = 10000, progress = 0, debug = FALSE, …)
Arguments
eig

vector of values between 0 and 1 specifying the non-zero eigenvalues for the process.

index

data.frame or matrix (or something acceptable to as.matrix) specifying indices of the basis functions.

basis

character string giving the name of the basis.

window

window (of class "owin", "box3" or "boxx") giving the domain of the point process.

reject_max

integer giving the maximal number of trials for rejection sampling.

progress

integer giving the interval for making a progress report. The value zero turns reporting off.

debug

logical value indicating whether debug informationb should be outputted.

Ignored.

Aliases
  • rdpp
Examples
# NOT RUN {
index <- expand.grid(-2:2,-2:2)
eig <- exp(-rowSums(index^2))
X <- rdpp(eig, index)
X
## To simulate a det. projection p. p. with the given indices set eig=1:
XX <- rdpp(1, index)
XX
# }
Documentation reproduced from package spatstat, version 1.57-1, License: GPL (>= 2)

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