dppGauss

0th

Percentile

Gaussian Determinantal Point Process Model

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".

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

Aliases
  • dppGauss
Examples
# NOT RUN {
m <- dppGauss(lambda=100, alpha=.05, d=2)
# }
Documentation reproduced from package spatstat, version 1.59-0, License: GPL (>= 2)

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