gslnls: GSL Multi-Start Nonlinear Least-Squares Fitting

An R interface to nonlinear least-squares optimization with the GNU Scientific Library (GSL), see M. Galassi et al. (2009, ISBN:0954612078). The available trust region methods include the Levenberg-Marquardt algorithm with and without geodesic acceleration, the Steihaug-Toint conjugate gradient algorithm for large systems and several variants of Powell's dogleg algorithm. Multi-start optimization based on quasi-random samples is implemented using a modified version of the algorithm in Hickernell and Yuan (1997, OR Transactions). Bindings are provided to tune a number of parameters affecting the low-level aspects of the trust region algorithms. The interface mimics R's nls() function and returns model objects inheriting from the same class.

Version:	1.3.2
Depends:	R (≥ 3.5)
Imports:	stats, Matrix
Published:	2024-05-01
DOI:	10.32614/CRAN.package.gslnls
Author:	Joris Chau [aut, cre]
Maintainer:	Joris Chau <joris.chau at openanalytics.eu>
BugReports:	https://github.com/JorisChau/gslnls/issues
License:	LGPL-3
URL:	https://github.com/JorisChau/gslnls
NeedsCompilation:	yes
SystemRequirements:	GSL (>= 2.2)
Language:	en-US
Materials:	NEWS
In views:	Optimization
CRAN checks:	gslnls results

Documentation:

Reference manual:

gslnls.pdf

Downloads:

Package source:	gslnls_1.3.2.tar.gz
Windows binaries:	r-devel: gslnls_1.3.2.zip, r-release: gslnls_1.3.2.zip, r-oldrel: gslnls_1.3.2.zip
macOS binaries:	r-release (arm64): gslnls_1.3.2.tgz, r-oldrel (arm64): gslnls_1.3.2.tgz, r-release (x86_64): gslnls_1.3.2.tgz, r-oldrel (x86_64): gslnls_1.3.2.tgz
Old sources:	gslnls archive

Reverse dependencies:

Reverse imports:

germinationmetrics

Linking:

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