Generalized Cauchy Determinantal Point Process Model
Function generating an instance of the (generalized) Cauchy determinantal point process model.
dppCauchy(...)
... |
arguments of the form |
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
An object of class "detpointprocfamily".
Adrian Baddeley Adrian.Baddeley@curtin.edu.au
Rolf Turner r.turner@auckland.ac.nz
and Ege Rubak rubak@math.aau.dk
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.
m <- dppCauchy(lambda=100, alpha=.05, nu=1, d=2)
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