Sparse Identification of Nonlinear Dynamics

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, in press ).


Reference manual

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0.2.2 by Rick Dale, 6 months ago

Browse source code at

Authors: Rick Dale and Harish S. Bhat

Documentation:   PDF Manual  

GPL (>= 2) license

Depends on pracma, arrangements, matrixStats, igraph, graphics, grDevices, crqa

See at CRAN