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ARGOS

0.1.1Package record

Automatic Regression for Governing Equations (ARGOS)

0packages depend
7.7Kdownloads / year
44.6%test coverage
13/13flavors OK

Overview

About

Comprehensive set of tools for performing system identification of both linear and nonlinear dynamical systems directly from data. The Automatic Regression for Governing Equations (ARGOS) simplifies the complex task of constructing mathematical models of dynamical systems from observed input and output data, supporting various types of systems, including those described by ordinary differential equations. It employs optimal numerical derivatives for enhanced accuracy and employs formal variable selection techniques to help identify the most relevant variables, thereby enabling the development of predictive models for system behavior analysis.

Install

Health

CRAN checks
13OK
Slowest check: 2.3 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.1
READMEYes · 286 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
13
Examples that run
100%10 run in a plain check
Exported functions with examples
77%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

7.7K
CRAN downloads in the past year
Rank #6,575 · ~21/day · ~643/mo
Daily download trend is not available in this view yet.
45130 days
1.3K90 days
7.7K1 year
Compare downloads with other packages →
Also on100 r2u33 autocran

Repository

3Stars
1Forks
1Open issues
1Open PRs
0Releases
49Commits
2Commit identities
49 commits · Last activity 2024-01-18 · 0% stars, 30d
Responsiveness
not measured

Stars over time

2024-08-17 · 22026-07-07 · 3
PracticesBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/kevinegan31/argos-package on 2026-10-18.

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)

Installing ARGOS adds 109 packages (54 with compiled code, 77 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)
R >= 3.6.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (4)
Author, Maintainer since 0.1.0 (2023)
Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.1.1Latest
    record
    2024-01-18 · current release · diff ↗
  • 0.1.0
    record
    2023-12-21
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2023-12-21
Total releases
2 / 3 yrs
License
GPL-3 OSI
Minimum R
≥ 3.6.0
Download size
16 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ARGOS")
Egan, K., Carvalho, R., Li, W., & Zhang, Y. (2024). ARGOS: Automatic Regression for Governing Equations (ARGOS) (Version 0.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.ARGOS

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ARGOS version 0.1.1 [Data set]. HJJB, LLC. Data release v2026-10-20. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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