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.
- Version0.2.4
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release05/01/2024
Team
Rick Dale
Harish S. Bhat
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- Depends3 packages
- Imports1 package