rdpp: Simulation of a Determinantal Point Process

In spatstat.model: Parametric Statistical Modelling and Inference for the 'spatstat' Family

Simulation of a Determinantal Point Process

Description

Generates simulated realisations from a determinantal point process.

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.

Value

A point pattern (object of class "ppp").

Author(s)

\spatstatAuthors

.

Examples

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

spatstat.model documentation built on Sept. 30, 2024, 9:26 a.m.