spatstat (version 1.45-2)

dppGauss: Gaussian Determinantal Point Process Model

Description

Function generating an instance of the Gaussian determinantal point process model.

Usage

dppGauss(...)

Arguments

...
arguments of the form tag=value specifying the parameters. See Details.

Details

The Gaussian DPP is defined in (Lavancier, latex{Mller{Moller} and Rubak, 2015) The possible parameters are:
  • the intensitylambdaas a positive numeric
  • the scale parameteralphaas a positive numeric
  • the dimensiondas a positive integer
} An object of class "detpointprocfamily". [object Object],[object Object],[object Object] Lavancier, F. latex{Mller{Moller}, J. and Rubak, E. (2015) Determinantal point process models and statistical inference Journal of the Royal Statistical Society, Series B 77, 853--977. } m <- dppGauss(lambda=100, alpha=.05, d=2) dppBessel, dppCauchy, dppMatern, dppPowerExp