Hello, I have 2D-data on a torus, i.e. they are scattered within [0:2pi) and are supposed to be periodic with period 2pi.
Is there a way in R for a kernel density estimation for such data? I found this article http://www.dmqte.unich.it/personal/dimarzio/density46.pdf but a) I don't fully understand the article (my knowledge in statistics is poor) b) I did not understand which Eq. represents the kernel(s) c) I do not now R well enough to understand whether I can use kde2d or nprudens with an arbitrary kernel My simple-minded attempt was to extend the data to [-2pi:4pi) and then use kde2d, but I am wondering a) how accurate is this b) is there a way to do it properly on a torus. Thanks a lot, Tim -- -- Tim Gruene Institut fuer anorganische Chemie Tammannstr. 4 D-37077 Goettingen GPG Key ID = A46BEE1A
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