dppGauss: Gaussian Determinantal Point Process Model
Description
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, latex{Mller{Moller} and Rubak, 2015)
The possible parameters are:
the intensitylambdaas a positive numeric
the scale parameteralphaas a positive numeric
the dimensiondas a positive integer
}
An object of class "detpointprocfamily".
[object Object],[object Object],[object Object]
Lavancier, F. latex{Mller{Moller}, J. and Rubak, E. (2015)
Determinantal point process models and statistical inference
Journal of the Royal Statistical Society, Series B77, 853--977.
}
m <- dppGauss(lambda=100, alpha=.05, d=2)dppBessel,
dppCauchy,
dppMatern,
dppPowerExp