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sindyr (version 0.2.4)

Sparse Identification of Nonlinear Dynamics

Description

This implements the Brunton et al (2016; PNAS ) 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 ). See for examples and updates.

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Version

Install

install.packages('sindyr')

Monthly Downloads

163

Version

0.2.4

License

GPL (>= 2)

Maintainer

Rick Dale

Last Published

May 1st, 2024

Functions in sindyr (0.2.4)

sindy

Run main SINDy function
finite_differences

Estimate derivatives of multiple variables with finite differences
features

Build a matrix of features for SINDy
sindyr-package

Sparse Identification of Nonlinear Dynamics
lorenzattractor

Simulate the Lorenz Attractor
windowed_sindy

Run SINDy over time windows
finite_difference

Estimate derivative of variable with finite differences