RGN: Robust-Gauss Newton (RGN) Optimization of Sum-of-SquaresObjective 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 + fileLICENSE |
| 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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