[R] difference between sm.density() and kde2d()

[Lavan]

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.