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

"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
m <- dppGauss(lambda=100, alpha=.05, d=2)
Documentation reproduced from package spatstat, version 1.48-0, License: GPL (>= 2)

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