I did work on robust nonlinear methods in the early nineties. To the best of my knowledge, none of my algorithms have been redone (and hopefully upgraded) in R. I may put a Ph.D. student on it, but that'll take a few years. In anyone knows of robust nonlinear code in R, let us know.
Thanks, Arny Arnold J. Stromberg, Ph.D. Professor and Chair, Department of Statistics 817 Patterson Office Tower Lexington, KY 40506-0027 ph: 859-257-8859 fax: 859-323-1973 -----Original Message----- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of [EMAIL PROTECTED] Sent: Friday, August 24, 2007 7:45 AM To: [email protected] Subject: [RsR] Non-linear robust method Hello, I am based at STICERD at the London School of Economics and have been using R for about a year. At the moment I am working on programming an R algorithm for fitting a Pareto distribution robustly (this is a part of package to supplement a research paper on income distribution). It isn't going too well. I am aware that there are routines in R to fit GLM using robust methods, but I am not sure whether any work has been done in the direction of non-linear parametric distributions (such as gamma or Pareto). I hope you hear from any of you soon and sorry for the trouble, Alex PS Some of you may be aware that there is some excellent work by A Marazzi, who programmed many such routines in FORTRAN about 15 years ago, which run on older R interfaces. Please access the attached hyperlink for an important electr...{{dropped}} _______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-robust
