dppGauss {spatstat.model}

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, Moller and Rubak, 2015) The possible parameters are:

• the intensity lambda as a positive numeric

• the scale parameter alpha as a positive numeric

• the dimension d as a positive integer

Value

An object of class "detpointprocfamily".

Author(s)

Adrian Baddeley [e-mail]

Rolf Turner [e-mail]

and Ege Rubak [e-mail]

References

Lavancier, F. Moller, J. and Rubak, E. (2015) Determinantal point process models and statistical inference Journal of the Royal Statistical Society, Series B 77, 853–977.

See Also

dppBessel, dppCauchy, dppMatern, dppPowerExp

Examples

m <- dppGauss(lambda=100, alpha=.05, d=2)