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.zip(r-4.7-x86_64)RGN_1.0.0.zip(r-4.7-arm64)RGN_1.0.0.zip(r-4.6-x86_64)RGN_1.0.0.zip(r-4.6-arm64)
RGN_1.0.0.tar.gz(r-4.7-arm64)RGN_1.0.0.tar.gz(r-4.7-x86_64)RGN_1.0.0.tar.gz(r-4.6-arm64)RGN_1.0.0.tar.gz(r-4.6-x86_64)
RGN_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
RGN/json (API)

# 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

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

On CRAN:

Conda:

fortran

1.70 score 2 scripts 191 downloads 2 exports 0 dependencies

Last updated from:17912ce6ea. Checks:9 OK, 1 WARNING. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK111
linux-devel-x86_64OK113
source / vignettesOK171
linux-release-arm64OK109
linux-release-x86_64OK115
windows-devel-arm64OK194
windows-devel-x86_64OK139
windows-release-arm64WARNING181
windows-release-x86_64OK127
wasm-releaseOK78

Exports:rgnsimFunc_hymod

Dependencies: