[R] Is DUD available in nls()?

[Hans W Borchers]

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
>