racdale/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, in press <doi:10.1016/j.cogsys.2018.06.020>).

Getting started

Package details

AuthorRick Dale and Harish S. Bhat
MaintainerRick Dale <[email protected]>
LicenseGPL (>= 2)
Version0.2.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("racdale/sindyr")
racdale/sindyr documentation built on Oct. 20, 2018, 1:14 p.m.