Automatic Regression for Governing Equations (ARGOS)
Overview
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
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
- 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
Repository
Stars over time
Forks over time
Issues over time
PRs over time
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.
Dependencies
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.
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.1.1Latest
- 0.1.02023-12-21
- RR 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")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.
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.