I doubt that there are any.
For a "bimodal" distrbution, I think one would have to specify in
detail the nature of the distribution and then define what one means
by an "outlier" (a slippery, sinister notion, at best and a flimsy
cloak for skulduggery at worst) .
As has been said her frquently before -- what is the scientific
context? What is the scientific question?
I suspect you need to seek the help of a local statistician before you
sweep possibly important data under the "outlier" rug.
Bert Gunter
Genentech Nonclinical Biostatistics
On Mon, Jul 26, 2010 at 5:40 AM, Tim Smith <tim_smith_666 at yahoo.com>
wrote:>
> Hi,
>
> I was looking for a package that would help with outlier detection for
bimodal
> distributions. I have tried 'outliers' and 'extremevalues'
packages, but am not
> sure if they are ok for bimodal distribution.
>
> Any help would be highly appreciated!
>
> thanks,
>
>
>
> ? ? ? ?[[alternative HTML version deleted]]
>
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