dppGauss: Gaussian Determinantal Point Process Model

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

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 \rolf

and \ege

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)

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