I wish to produce a weighted (Gaussian?) kernel density estimate, in
2 dimensions, where the weights are permitted to be ***negative***.
(I can ASSURE you that there are perfectly legitimate reasons why I
want to do this. :-)) Clearly it is not really a density that I am
trying to estimate.
I had a go at using sm.density() from the sm package, but this
requires that the weights be positive. Is there any software lurking
in the undergrowth that I could use for my purpose? Or bits and
pieces that could give me a start on building the machine that I
need?
Ta.
cheers,
Rolf Turner
[EMAIL PROTECTED]
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