I am one of only 5 or 6 people in my organization making the effort to include R/Splus as an analysis tool in everyday work - the rest of my colleagues use SAS exclusively.
Today, one of them made the assertion that he believes the numerical algorithms in SAS are superior to those in Splus and R -- ie, optimization routines are faster in SAS, the SAS Institute has teams of excellent numerical analysts that ensure its superiority to anything freely available, PROC NLMIXED is more flexible than nlme( ) in the sense that it allows a much wider array of error structures than can be used in R/Splus, &etc. I obviously do not subscribe to these views and would like to refute them, but I am not a numerical analyst and am still a novice at R/Splus. Do there exist refereed papers comparing the numerical capabilities of these platforms? If not, are there other resources I might look up and pass along to my colleagues? Much thanks in advance, david paul ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help