[RsR] lmRob and lmrob

[Manuel Koller]

Dear Suresh,

I recommend using lmrob of the robustbase package.

lmRob of the robust package used to have an advantage over lmrob if
there were categorical predictors, but as of robustbase version 0.9,
this is no longer the case.

Also note that lmrob has some extensions that aim to improve
performance for small data sets (setting="KS2011"). Details and
references are given in the help files of lmrob and lmrob.control.

Best regards,

Manuel

On Thu, May 31, 2012 at 12:00 PM, Suresh Krishna <madzientist using gmail.com> wrote:
>
> Hi,
>
> I am a new, naive user who needs to use one of lmrob (package robustbase)
> or lmRob (package robust) to do many robust regressions to small datasets
> (N~50 points). Is there any recommendation as to which one I should use or
> would find easier to use (better default options, more documentation etc)
> ? Or are they more or less similar ?
>
> I saw the Robust taskview, but the explicit comparison of the 2 packages
> there seems quite dated, so I thought I would ask here.
>
> Thank you very much for your work on the packages and for your help,
>
> Suresh
>
> _______________________________________________
> R-SIG-Robust using r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-sig-robust



-- 
Manuel Koller <koller using stat.math.ethz.ch>
Seminar für Statistik, HG G 18, Rämistrasse 101
ETH Zürich  8092 Zürich  SWITZERLAND
phone: +41 44 632-4673 fax: ...-1228
http://stat.ethz.ch/people/kollerma/