[R] Confindence interval for Levenberg-Marquardt fit

[Prof Brian Ripley]

Well, the algorithm used does not affect the confidence interval (provided 
it works correctly), but what is nls.ml (presumably in some package you 
have not mentioned) and why would I want to use an old-fashioned 
algorithm?

You could start nls at the solution you got from nls.ml and use confint() 
on that.

On Wed, 21 Feb 2007, Michael Dondrup wrote:

> Dear all,
> I would like to use the Levenberg-Marquardt algorithm for non-linear
> least-squares regression using function nls.lm. Can anybody help  me to
>   find a a way to compute confidence intervals on the  fitted
> parameters as it is possible for nls (using confint.nls, which does not
> work for nls.lm)?
>
> Thank you for your help
> Michael


-- 
Brian D. Ripley,                  ripley at stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
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