dppCauchy

0th

Percentile

Generalized Cauchy Determinantal Point Process Model

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".

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.

dppBessel, dppGauss, dppMatern, dppPowerExp

• dppCauchy
Examples
# NOT RUN {
m <- dppCauchy(lambda=100, alpha=.05, nu=1, d=2)
# }

Documentation reproduced from package spatstat, version 1.63-3, License: GPL (>= 2)

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