[RsR] OGK covariance estimator
Peter Filzmoser
P@F||zmo@er @end|ng |rom tuw|en@@c@@t
Mon Dec 5 09:02:54 CET 2005
Martin Maechler wrote:
> But indeed, that shouldn't be a problem, since I think one
> should program the OGK using R (S) code alone {just using
> eigen() and other matrix operations},
> and have the univariate scale estimate be a plug-in, i.e.,
> a function argument. There, one could use Qn, Sn {I now have
> these two in the not yet-released package on "basic robust statistic"},
Martin, we are working now on a fast implementation of the
Qn, using C++ code in R. Have you done that similarly?
> the tau-estimate (from the 2002 JASA paper) or any other
> consistent scale estimate -- ideally by passing it as an R
> function to the ``cov.okg(...)'' function {or should that be
> ``covRob(..., method="OGK")'' ?}.
>
> Martin Maechler, ETH Zurich
>
> _______________________________________________
> R-SIG-Robust using r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-sig-robust
>
>
--
-------------------------------------------------------
From: Prof. Dr. Peter Filzmoser
Dept. of Statistics & Probability Theory
Vienna University of Technology
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