Package: ARGOS Type: Package Title: Automatic Regression for Governing Equations (ARGOS) Version: 0.1.1 Authors@R: c(person(given = "Kevin", family = "Egan", email = "kevin.egan@durham.ac.uk", role = c("aut", "cre")), person(given = "Weizhen", family = "Li", email = "weizhen.li@durham.ac.uk", role = "aut"), person(given = "Rui", family = "Carvalho", email = "rui.carvalho@durham.ac.uk", role = "aut"), person(given = "Yuzheng", family = "Zhang", email = "yuzheng.zhang@durham.ac.uk", role = "aut") ) Maintainer: Kevin Egan Description: 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. Depends: R (>= 3.6.0) Imports: Matrix, glmnet, Metrics, boot, tidyverse, magrittr, tidyr, signal, parallel, deSolve Suggests: testthat, knitr, rmarkdown, devtools License: GPL-3 URL: Contact: Please report bugs and other issues to . Encoding: UTF-8 RoxygenNote: 7.2.3 Config/pak/sysreqs: cmake libfontconfig1-dev libfreetype6-dev libfribidi-dev make libharfbuzz-dev libicu-dev libjpeg-dev libpng-dev libtiff-dev libuv1-dev libwebp-dev libxml2-dev libssl-dev libx11-dev zlib1g-dev Repository: https://kevinegan31.r-universe.dev Date/Publication: 2024-01-18 22:50:57 UTC RemoteUrl: https://github.com/kevinegan31/argos-package RemoteRef: HEAD RemoteSha: e828417158b0d8f4226e6291f55e29e3fd0f2bfa NeedsCompilation: no Packaged: 2026-09-30 08:28:48 UTC; root Author: Kevin Egan [aut, cre], Weizhen Li [aut], Rui Carvalho [aut], Yuzheng Zhang [aut]