RGN: Robust-Gauss Newton (RGN) Optimization of Sum-of-Squares Objective Function

Implementation of the Robust Gauss-Newton (RGN) algorithm, designed for solving optimization problems with a sum of least squares objective function. For algorithm details please refer to Qin et. al. (2018) <doi:10.1029/2017WR022488>.

Version:	1.0.0
Depends:	R (≥ 3.5.0)
Suggests:	testthat (≥ 3.0.0)
Published:	2023-09-25
DOI:	10.32614/CRAN.package.RGN
Author:	David McInerney [cre, aut], Michael Leonard [aut], Dmitri Kavetski [aut], Youwei Qin [aut], George Kuczera [aut]
Maintainer:	David McInerney <dmcinern at gmail.com>
BugReports:	https://github.com/ClimateAnalytics/RGN/issues
License:	MIT + file LICENSE
URL:	https://github.com/ClimateAnalytics/RGN/
NeedsCompilation:	yes
Materials:	README, NEWS
CRAN checks:	RGN results

Documentation:

Reference manual:

RGN.html , RGN.pdf

Downloads:

Package source:	RGN_1.0.0.tar.gz
Windows binaries:	r-devel: RGN_1.0.0.zip, r-release: RGN_1.0.0.zip, r-oldrel: RGN_1.0.0.zip
macOS binaries:	r-release (arm64): RGN_1.0.0.tgz, r-oldrel (arm64): RGN_1.0.0.tgz, r-release (x86_64): RGN_1.0.0.tgz, r-oldrel (x86_64): RGN_1.0.0.tgz

Reverse dependencies:

Reverse imports:

foreSIGHT

Linking:

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