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:David McInerney [cre, aut], Michael Leonard [aut], Dmitri Kavetski [aut], Youwei Qin [aut], George Kuczera [aut]

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'))

Peer review:

Bug tracker:https://github.com/climateanalytics/rgn/issues

Uses libs:
  • fortran– Runtime library for GNU Fortran applications
Datasets:
  • BassRiverData - Hydrological data for Bass River catchment in Victoria, Australia

2.18 score 1 packages 2 scripts 174 downloads 2 exports 0 dependencies

Last updated 1 years agofrom:17912ce6ea. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKSep 19 2024
R-4.5-linux-x86_64OKSep 19 2024

Exports:rgnsimFunc_hymod

Dependencies: