Thanks to all, I looked into the nonlinear regression fitting function
"nlrob()" available in R. the problem with it is that unless i don't get
start with good starting values close to the actual one's it does not work.
Is there any pointers how to choose good starting values-?
Thanks,
Dost.
On Sep 26 2008, Tobias Verbeke wrote:
From the Robust Statistical Methods Task View on CRAN
at
http://cran.r-project.org/web/views/Robust.html
" Robust Nonlinear model fitting is available through robustbase 's
nlrob()."
install.packages("robustbase")
library(robustbase)
?nlrob
HTH,
Tobias
I would like to know about robust nonlinear regression R code as well.
Arny
Arnold J. Stromberg
Professor and Chair
Department of Statistics
University of Kentucky
817 Patterson Office Tower
Lexington, KY 40506-0027
Phone: 859-257-6115
Fax: 859-323-1973
-----Original Message----- From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of
[EMAIL PROTECTED] Sent: Thursday, September 25, 2008 6:50 PM To:
r-sig-robust@r-project.org Subject: [RsR] Robust nonlinear regression in
R
Hi dear linsters,
I am starting work on a robust nonlinear regression project. Is there any
code, stuff in R for robust estimation of nonlinear regression functions.
any comments,material help, suggestions would be greatly appreciated.
thanks in advance,
Dost.
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