CRAN/E | ARGOS

ARGOS

Automatic Regression for Governing Equations (ARGOS)

Installation

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.

<github.com/kevinegan31/ARGOS-Package>

Key Metrics

Version 0.1.1
R ≥ 3.6.0
Published 2024-01-18 102 days ago
Needs compilation? no
License GPL-3
CRAN checks ARGOS results

Downloads

Yesterday 7 -13%
Last 7 days 155 +8%
Last 30 days 658 -8%
Last 90 days 1.941 +102%
Last 365 days 2.883

Maintainer

Maintainer

Kevin Egan

kevin.egan@durham.ac.uk

Authors

Kevin Egan

aut / cre

Weizhen Li

aut

Rui Carvalho

aut

Yuzheng Zhang

aut

Contacts

Please report bugs and other issues to

Material

README
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

ARGOS archive

Depends

R ≥ 3.6.0

Imports

Matrix
glmnet
Metrics
boot
tidyverse
magrittr
tidyr
signal
parallel
deSolve

Suggests

testthat
knitr
rmarkdown
devtools