[R] Approximation of a function from R^2 to R

Greg Snow 538280 at gmail.com
Mon Jan 19 23:48:36 CET 2015

why not just use the tools in npudens?  they can predict on a new set.

You can also you tools like fitdistr to fit a parametric multivariate
density, or you can use loess or lm with poly or splines to estimate the
surface (but this will not guarantee a volume of 1).

On Thu, Jan 15, 2015 at 2:19 AM, rala <stachel9 at gmx.de> wrote:

> Thanks for the reply. I have datapoints.
> What I actually want to do is to estimate a joint density function.
> I used npudens() to estimate the kernel density of two vectors and got the
> densities at the evaluation points. Now I want an approximation for this so
> I can have an estimate for different points.
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Gregory (Greg) L. Snow Ph.D.
538280 at gmail.com

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