marqLevAlg: An algorithm for least-squares curve fitting

This algorithm provides a numerical solution to the problem of minimizing a function. This is more efficient than the Gauss-Newton-like algorithm when starting from points very far from the final minimum. A new convergence test is implemented (RDM) in addition to the usual stopping criterion : stopping rule is when the gradients are small enough in the parameters metric (GH-1G).

AuthorD. Commenges <Daniel.Commenges@isped.u-bordeaux2.fr>, M. Prague <Melanie.Prague@isped.u-bordeaux2.fr> and A. Diakite
Date of publication2013-03-18 23:14:20
MaintainerMelanie Prague <Melanie.Prague@isped.u-bordeaux2.fr>
LicenseGPL (>= 2.0)
Version1.1
http://www.r-project.org

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