Dear R users,
I used sm.density function in the sm package and kde2d() in the MASS package
to estimate the bivariate density. Then I calculated the Kullback leibler
divergence meassure between a distribution and the each of the estimated
densities, but the asnwers are different. Is there any difference between
the kde2d and sm.density estimates? if there is a difference, then which is
the best estimate?
Thank you,
lavan
--
View this message in context:
http://www.nabble.com/difference-between-sm.density%28%29-and-kde2d%28%29-tp19818014p19818014.html
Sent from the R help mailing list archive at Nabble.com.
