marqLevAlg: An algorithm for least-squares curve fitting
Version 1.1

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).

Package details

AuthorD. Commenges <[email protected]>, M. Prague <[email protected]> and A. Diakite
Date of publication2013-03-18 23:14:20
MaintainerMelanie Prague <[email protected]>
LicenseGPL (>= 2.0)
Package repositoryView on CRAN
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marqLevAlg documentation built on May 29, 2017, 5:47 p.m.