Bert Gunter <gunter.berton <at> gene.com> writes: > > I certainly second all Jeff's comments. > > **HOWEVER** : > http://www.tandfonline.com/doi/pdf/10.1080/00401706.1978.10489610 > > IIRC, DUD's provenance is old, being originally a BMDP feature. >
Thanks for the pointer. That seems to be an interesting derivative-free approach, specialized for least-squares problems. I will take a closer look, as it might be a nice addition for the 'dfoptim' package for derivative-free optimization. -- Hans Werner Jeff Newmiller <jdnewmil <at> dcn.davis.ca.us> writes: > > a) Read the Posting Guide. > [...] > > b) Regarding your "DUD" algorithm, it doesn't sound familiar. > There are many algorithms that don't use derivatives for optimization > so it isn't clear that this is a referenceable label. The help file for > nls mentions two algorithms that don't require derivatives. You might > want to review the CRAN Task View on Optimization and Mathematical > Programming if you want to know more about what is available in CRAN > and base R. qi A <send2aqi <at> gmail.com> writes: > > SAS has DUD (Does not Use Derivatives)/Secant Method for nonlinear > regression, does R offer this option for nonlinear regression? > > I have read the helpfile for nls() and could not find such option, any > suggestion? > > Thanks, > > Derek > ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.