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cdem
2005 Dec 15
0
bivariate kernel density estimates at point locations ( r ather than at grid locations)
You can try `locfit', though it does local likelihood, rather than
garden-variety kernel density estimation. Here's an example:
library(locfit)
data(cldem)
den.fit <- locfit(~ x1 + x2, data=cltrain)
predict(den.fit, newdata=cltrain)
Andy
From: Strickland, Matthew
>
> Hi,
>
> My data consists of a set of point locations (x,y).
>
> I would like to know if there is a procedure for bivariate kernel
> density estimation in R...