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

"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, dppGauss, dppMatern, dppPowerExp

Aliases
  • dppCauchy
Examples
m <- dppCauchy(lambda=100, alpha=.05, nu=1, d=2)
Documentation reproduced from package spatstat, version 1.48-0, License: GPL (>= 2)

Community examples

Looks like there are no examples yet.