Package: sindyr 0.2.4
sindyr: Sparse Identification of Nonlinear Dynamics
This implements the Brunton et al (2016; PNAS <doi:10.1073/pnas.1517384113>) sparse identification algorithm for finding ordinary differential equations for a measured system from raw data (SINDy). The package includes a set of additional tools for working with raw data, with an emphasis on cognitive science applications (Dale and Bhat, 2018 <doi:10.1016/j.cogsys.2018.06.020>). See <https://github.com/racdale/sindyr> for examples and updates.
Authors:
sindyr_0.2.4.tar.gz
sindyr_0.2.4.zip(r-4.5)sindyr_0.2.4.zip(r-4.4)sindyr_0.2.4.zip(r-4.3)
sindyr_0.2.4.tgz(r-4.4-any)sindyr_0.2.4.tgz(r-4.3-any)
sindyr_0.2.4.tar.gz(r-4.5-noble)sindyr_0.2.4.tar.gz(r-4.4-noble)
sindyr_0.2.4.tgz(r-4.4-emscripten)sindyr_0.2.4.tgz(r-4.3-emscripten)
sindyr.pdf |sindyr.html✨
sindyr/json (API)
| # Install 'sindyr' in R: |
| install.packages('sindyr', repos = c('https://racdale.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/racdale/sindyr/issues
Last updated 7 months agofrom:ff9c7029cf. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 29 2024 |
| R-4.5-win | OK | Oct 29 2024 |
| R-4.5-linux | OK | Oct 29 2024 |
| R-4.4-win | OK | Oct 29 2024 |
| R-4.4-mac | OK | Oct 29 2024 |
| R-4.3-win | OK | Oct 29 2024 |
| R-4.3-mac | OK | Oct 29 2024 |
Exports:featuresfinite_differencefinite_differenceslorenzattractorsindywindowed_sindy
Dependencies:arrangementsclicpp11gluegmpigraphlatticelifecyclemagrittrMatrixmatrixStatspkgconfigpracmaR6rlangvctrs
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Sparse Identification of Nonlinear Dynamics | sindyr-package |
| Build a matrix of features for SINDy | features |
| Estimate derivative of variable with finite differences | finite_difference |
| Estimate derivatives of multiple variables with finite differences | finite_differences |
| Simulate the Lorenz Attractor | lorenzattractor |
| Run main SINDy function | sindy |
| Run SINDy over time windows | windowed_sindy |
