This package is considered a duplicate. The official version of this package is found at:https://climateanalytics.r-universe.dev/RGN
Package: RGN 1.0.0
David McInerney
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>.
Authors:
RGN_1.0.0.tar.gz
RGN_1.0.0.tar.gz(r-4.5-noble)RGN_1.0.0.tar.gz(r-4.4-noble)
RGN_1.0.0.tgz(r-4.4-emscripten)RGN_1.0.0.tgz(r-4.3-emscripten)
RGN.pdf |RGN.html✨
RGN/json (API)
NEWS
| # Install 'RGN' in R: |
| install.packages('RGN', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/climateanalytics/rgn/issues
Datasets:
- BassRiverData - Hydrological data for Bass River catchment in Victoria, Australia
Last updated 1 years agofrom:17912ce6ea. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 19 2024 |
| R-4.5-linux-x86_64 | OK | Dec 19 2024 |
Exports:rgnsimFunc_hymod
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Hydrological data for Bass River catchment in Victoria, Australia | BassRiverData |
| Robust Gauss Newton optimization | rgn |
| hymod simulation | simFunc_hymod |
