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dppPowerExp

Power Exponential Spectral Determinantal Point Process Model


Description

Function generating an instance of the Power Exponential Spectral determinantal point process model.

Usage

dppPowerExp(...)

Arguments

...

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

Details

The Power Exponential Spectral 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)

and Ege Rubak rubak@math.aau.dk

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

Examples

m <- dppPowerExp(lambda=100, alpha=.01, nu=1, d=2)

spatstat.core

Core Functionality of the 'spatstat' Family

v2.1-2
GPL (>= 2)
Authors
Adrian Baddeley [aut, cre], Rolf Turner [aut], Ege Rubak [aut], Kasper Klitgaard Berthelsen [ctb], Achmad Choiruddin [ctb], Jean-Francois Coeurjolly [ctb], Ottmar Cronie [ctb], Tilman Davies [ctb], Julian Gilbey [ctb], Yongtao Guan [ctb], Ute Hahn [ctb], Kassel Hingee [ctb], Abdollah Jalilian [ctb], Marie-Colette van Lieshout [ctb], Greg McSwiggan [ctb], Tuomas Rajala [ctb], Suman Rakshit [ctb], Dominic Schuhmacher [ctb], Rasmus Plenge Waagepetersen [ctb], Hangsheng Wang [ctb]
Initial release
2021-04-17

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