I clearly advocate the use of R's random numbers throughout. I think that an argument seed= is not needed, since the handling of random numbers is easy without it. The user can call set.seed before calling lmrob and, if needed, store the old seed and reset .Random.seed to this value later. As to the naming issue, I dislike the underline as a part of a name, because I use ESS. I prefer names like lmrobMM lmrobS Is there a need for method="fastS"? Will there be other submethods of S-estimators? If so, I again like the main things first: Sfast instead of fastS . Greetings Werner ----------------- This message was sent by --------------------------- Werner Stahel http://stat.ethz.ch/~stahel Seminar fuer Statistik phone : +41 1 632 34 30 ETH-Zentrum, LEO D8 fax : +41 1 632 12 28 CH-8092 Zurich, Switzerland meet me: Leonhardstr.27, D8
[RsR] estimators based on random samples... - should be random
1 message · Werner Stahel