R help - May 2005 - Multivariate kernel density estimation

Hi,

I need to estimate the density at the mean of a sample of a few 
thousands data points with a dimesion up to 5. The data is uni-modal and 
  regularly shaped.

I couldn't find any kernel density package for R which supports more
than 3 dimensions. Have I overlooked a package or does somebody have 
code for this purpose? Any other advice?

Regards,
   Stephan

locfit() in the `locfit' package should be able to handle at least 5
dimensions, but you need tons of data and either lots of time or a very fast
computer.  ssden() in the `gss' package will handle up to 4 dimensions.
Those are the only two I know about.  Others may well know better.

HTH,
Andy
> From: Stephan Tolksdorf
> 
> Hi,
> 
> I need to estimate the density at the mean of a sample of a few 
> thousands data points with a dimesion up to 5. The data is 
> uni-modal and 
>   regularly shaped.
> 
> I couldn't find any kernel density package for R which supports more
> than 3 dimensions. Have I overlooked a package or does somebody have 
> code for this purpose? Any other advice?
> 
> Regards,
>    Stephan
> 
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