If I understand your question correctly, the functions lgcp.estK() and
lgcp.estpcf() in the "spatstat" package should help you to fit the model.
(These functions use the method of minimum contrast.)
I don't know about "predicting" the underlying random field. This is
random, with a constant mea
Hi,
As far as I know, there exist some programs via the function INLA,
but I'm so curious if there is a specific function directly used to fit the
log Gaussian Cox process model and
predict the latent Gaussian field. That is, if I have a data points, then I
input it in the function and
don't n
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