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 ORCID iD [cre, aut], Michael Leonard ORCID iD [aut], Dmitri Kavetski ORCID iD [aut], Youwei Qin ORCID iD [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


Reference manual: RGN.pdf


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


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