dppCauchy: Generalized Cauchy Determinantal Point Process Model

In spatstat.core: Core Functionality of the 'spatstat' Family

Generalized Cauchy Determinantal Point Process Model

Description

Function generating an instance of the (generalized) Cauchy determinantal point process model.

Usage

dppCauchy(...)

Arguments

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

Details

The (generalized) Cauchy 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 shape parameter nu as a positive numeric (artificially required to be less than 20 in the code for numerical stability)

• 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, dppGauss, dppMatern, dppPowerExp

Examples

m <- dppCauchy(lambda=100, alpha=.05, nu=1, d=2)

spatstat.core documentation built on May 18, 2022, 9:05 a.m.