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.

Package details

AuthorRick Dale and Harish S. Bhat
MaintainerRick Dale <racdale@gmail.com>
LicenseGPL (>= 2)
Version0.2.4
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("sindyr")

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sindyr documentation built on May 29, 2024, 7:47 a.m.