EmpiricalDynamics
Empirical Discovery of Differential Equations from Time Series Data
Description
A comprehensive toolkit for discovering differential and difference equations from empirical time series data using symbolic regression. The package implements a complete workflow from data preprocessing (including Total Variation Regularized differentiation for noisy economic data), visual exploration of dynamical structure, and symbolic equation discovery via genetic algorithms. It leverages a high-performance 'Julia' backend ('SymbolicRegression.jl') to provide industrial-grade robustness, physics-informed constraints, and rigorous out-of-sample validation. Designed for economists, physicists, and researchers studying dynamical systems from observational data.
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CRAN Check Status
Show all 14 flavors
| Flavor | Status |
|---|---|
| r-devel-linux-x86_64-debian-clang | OK |
| r-devel-linux-x86_64-debian-gcc | OK |
| r-devel-linux-x86_64-fedora-clang | OK |
| r-devel-linux-x86_64-fedora-gcc | OK |
| r-devel-macos-arm64 | OK |
| r-devel-windows-x86_64 | OK |
| r-oldrel-macos-arm64 | OK |
| r-oldrel-macos-x86_64 | OK |
| r-oldrel-windows-x86_64 | OK |
| r-patched-linux-x86_64 | OK |
| r-release-linux-x86_64 | OK |
| r-release-macos-arm64 | OK |
| r-release-macos-x86_64 | OK |
| r-release-windows-x86_64 | OK |
Check History
OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 21, 2026
ERROR 6 OK · 0 NOTE · 0 WARNING · 8 ERROR · 0 FAILURE Mar 10, 2026
dependencies in R code
Missing or unexported object: ‘CVXR::solve’
dependencies in R code
Missing or unexported object: ‘CVXR::solve’
dependencies in R code
Missing or unexported object: ‘CVXR::solve’
dependencies in R code
Missing or unexported object: ‘CVXR::solve’
dependencies in R code
Missing or unexported object: 'CVXR::solve'
dependencies in R code
Missing or unexported object: ‘CVXR::solve’
dependencies in R code
Missing or unexported object: 'CVXR::solve'
dependencies in R code
Missing or unexported object: 'CVXR::solve'