spatstat has DPP sampling for the stationary kernels that appear in spatial statistics. This includes smart tricks to deal with observation windows, Fourier series that approximate Fourier transforms, estimating functional statistics, etc. Maybe we could use some R API to quickly add their algorithms to DPPy.
Describe the solution you'd like
A class for stationary kernels on the plane, where the sampling method would call spatstat behind the scenes.
Describe alternatives you've considered
An alternative solution would be to re-implement their algorithms.
Additional context
In any case, if we consider this issue at some point, we should discuss with Ege Rubak and the Aalborg group.
spatstat has DPP sampling for the stationary kernels that appear in spatial statistics. This includes smart tricks to deal with observation windows, Fourier series that approximate Fourier transforms, estimating functional statistics, etc. Maybe we could use some R API to quickly add their algorithms to DPPy.
Describe the solution you'd like A class for stationary kernels on the plane, where the sampling method would call spatstat behind the scenes.
Describe alternatives you've considered An alternative solution would be to re-implement their algorithms.
Additional context In any case, if we consider this issue at some point, we should discuss with Ege Rubak and the Aalborg group.