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Levenberg-Marquardt

2 messages · Lorenzo Isella, Dirk Eddelbuettel

#
Dear All,
In doing some fittings I tried several R packages and, for my specific
problem, I get good results with the minpack.lm library, which
implements the Levenberg-Marquardt (LM) algorithm for nonlinear
least-square optimization.
However, the nls.lm package does not allow the user to set any constrain
(and I would need mainly some linear constrains) on the fitting
parameters.
Do you know about any package in R implementing constrains in LM?
Unfortunately, nls did not work very well with my set of data.
Cheers

Lorenzo
#
On 21 May 2006 at 02:10, Lorenzo Isella wrote:
| Dear All,
| In doing some fittings I tried several R packages and, for my specific
| problem, I get good results with the minpack.lm library, which
| implements the Levenberg-Marquardt (LM) algorithm for nonlinear
| least-square optimization.
| However, the nls.lm package does not allow the user to set any constrain
| (and I would need mainly some linear constrains) on the fitting
| parameters.
| Do you know about any package in R implementing constrains in LM?
| Unfortunately, nls did not work very well with my set of data.

I continue to be surprised by your apparent lack of success when it comes to
finding the already supplied documentation. Try

	> ?optim
	> help.search("optimization")

optim() may well be your friend here as it implements several algorithms
including box-constrained optimization.

Also, and now with my listmaster head on, allow me to remind you that this
list is meant to finance-related matters.  Neither this post, nor your
preceding, and repeated, posts about multi-modal density estimation are
concerned with finance per se.  

Therefore, I would suggest that you send those questions to r-help instead.

Thanks, Dirk