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: r-sig-robust-bounces at r-project.org [mailto:r-sig-robust-bounces at r-project.org] On Behalf Of khanx131 at umn.edu Sent: Thursday, September 25, 2008 6:50 PM To: r-sig-robust at 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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