R Observatory: Metrics for RGN version 1.0.0

Balamuta, James Joseph

RGN

1.0.0

Robust-Gauss Newton (RGN) Optimization of Sum-of-Squares Objective Function

0packages depend

2.2Kdownloads / year

81.5%test coverage

12/13checks pass

Overview

About

Maintained by David McInerneyFirst published 2023-09-251 releasesCRAN page ↗GitHub ↗

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.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("RGN", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("ClimateAnalytics/RGN")

Development version from ClimateAnalytics/RGN. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-rgn

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-RGN

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-RGN

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

1ERROR12OK

Failing flavors

ERROR r-release-macos-x86_64

Slowest check: 1.8 min · r-devel-linux-x86_64-fedora-clang

Code health

Yes

Tests · ratio 0.06

81.5%

Coverage · measured lines

100%

Documentation · exports

0

Dependencies · direct

Check history

ERROR2026-04-25
11 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 176 wordsVignettesNopkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 33%

Downloads

2.2K

CRAN downloads in the past year

Rank #23,010 · ~6/day · ~182/mo

Releases R versions

Daily download trend is not available in this view yet.

9030 days

44390 days

2.2K1 year

Compare downloads with other packages →

Also on377 r2u

Repository

GitHub ↗ climateanalytics/rgn

0Stars

0Forks

0Open issues

0Open PRs

1Releases

75Commits

2Contributors

75 commits · Last activity 2023-09-26

Releases over time

2023-09-26 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/climateanalytics/rgn on 2026-08-03.

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Docs source (1)

README.Rmd

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

1 external dependency (excludes base and recommended)

Depends (1)

R >= 3.5.0

Imports (0)

none

LinkingTo (0)

none

Suggests (1)

testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (5)

Maintainer (1)

David McInerney

Maintainer, Author

Authors (5)

Maintainer, Author

Author

Author

Author

Author

Package Timeline

1 release. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
1.0.0Latest
2026-03-10 · current release
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2023-09-25
Total releases: 1 / 3 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.5.0
Bundled data: 50 KB / 1 file
Download size: 57 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Start here. This is the citation for the package itself.

citation("RGN")

CRAN DOI

https://doi.org/10.32614/CRAN.package.RGN

BibTeX, derived from DESCRIPTION

@Manual{RGN,
  title  = {RGN: Robust-Gauss Newton (RGN) Optimization of Sum-of-Squares
Objective Function},
  author = {McInerney, David and Kavetski, Dmitri and Kuczera, George and Leonard, Michael and Qin, Youwei},
  year   = {2023},
  note   = {R package version 1.0.0},
  doi    = {10.32614/CRAN.package.RGN},
  url    = {https://CRAN.R-project.org/package=RGN}
}

Derived from the package DESCRIPTION, not from a citation file the authors wrote. If they publish one later, prefer it.

This is the citation for the package. It is not a citation for the R Observatory.

Cite this page

Use this when the claim is about a measurement on this page.

BibTeX

@misc{robservatoryRGN,
  author    = {Balamuta, James Joseph},
  title     = {{R} {Observatory}: Metrics for {RGN} version 1.0.0},
  year      = {2026},
  publisher = {HJJB, LLC},
  url       = {https://r-observatory.thecoatlessprofessor.com/packages/RGN},
  note      = {Data set. Data release v2026-08-05}
}

APA

Balamuta, J. J. (2026). R Observatory: Metrics for RGN version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-08-05. https://r-observatory.thecoatlessprofessor.com/packages/RGN

RIS

TY  - DATA
AU  - Balamuta, James Joseph
TI  - R Observatory: Metrics for RGN version 1.0.0
PY  - 2026
PB  - HJJB, LLC
N1  - Data release v2026-08-05
UR  - https://r-observatory.thecoatlessprofessor.com/packages/RGN
ER  -

In prose

These package metrics were obtained from the R Observatory (Balamuta, 2026), data release v2026-08-05, https://r-observatory.thecoatlessprofessor.com/packages/RGN.

Bound to data release v2026-08-05, which is what makes the numbers on this page reproducible. See how to cite.

Report a problem with this page →