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).

Version: 1.1
Depends: R (≥ 2.0.0)
Published: 2013-03-18
Author: D. Commenges, M. Prague and A. Diakite
Maintainer: Melanie Prague <Melanie.Prague at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)]
NeedsCompilation: yes
CRAN checks: marqLevAlg results


Reference manual: marqLevAlg.pdf
Package source: marqLevAlg_1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: marqLevAlg_1.1.tgz
OS X Mavericks binaries: r-oldrel: marqLevAlg_1.1.tgz
Old sources: marqLevAlg archive


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