dppkernel: Extract Kernel from Determinantal Point Process Model Object
In spatstat.model: Parametric Statistical Modelling and Inference for the 'spatstat' Family
dppkernel R Documentation
Extract Kernel from Determinantal Point Process Model Object
Description
Returns the kernel of a determinantal point process model as a
function of one argument x.
Usage
dppkernel(model, ...)
Arguments
model
Model of class "detpointprocfamily".
...
Arguments passed to dppapproxkernel if the exact kernel is unknown
Value
A function
Author(s)
\adrian
\rolf
and \ege
Examples
kernelMatern <- dppkernel(dppMatern(lambda = 100, alpha=.01, nu=1, d=2))
plot(kernelMatern, xlim = c(0,0.1))
spatstat.model documentation built on Sept. 30, 2024, 9:26 a.m.
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| dppkernel | R Documentation |
Extract Kernel from Determinantal Point Process Model Object
Description
Returns the kernel of a determinantal point process model as a
function of one argument x.
Usage
dppkernel(model, ...)Arguments
model |
Model of class |
... |
Arguments passed to |
Value
A function
Author(s)
\adrian \rolfand \ege
Examples
kernelMatern <- dppkernel(dppMatern(lambda = 100, alpha=.01, nu=1, d=2))
plot(kernelMatern, xlim = c(0,0.1))
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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