[RsR] Tutorial: Introduction to Robust Statistics with R
Martin Maechler
m@ech|er @end|ng |rom @t@t@m@th@ethz@ch
Sat Jun 7 22:51:11 CEST 2008
>>>>> "ValenT" == Valentin Todorov <valentin.todorov using chello.at>
>>>>> on Fri, 6 Jun 2008 23:49:49 +0200 writes:
ValenT> Today I came across the announcement of the tutorial at the UseR! Conference
ValenT> in Dortmund "Introduction to Robust Statistics with R" and was surprised to
ValenT> see that it will "... use R functions mainly from packages 'MASS' and ..."
didn't you guess I was the culprit ? :-)
I think I mainly mentioned MASS because it's been a standard R
package for a long time.
ValenT> I wonder what does 'MASS' still has that 'robustbase' & cie do not have?
Probably not much, but
simple M-estimate for regression with flexible choice of
psi/rho function is something not available as "high-level"
in robustbase::lmrob() nor robust::lmRob() I think.
E.g. if you have only categorical predictors, such "simple" M estimates
may make much sense, no?
Regards,
Martin
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