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>).
|Author||Rick Dale and Harish S. Bhat|
|Maintainer||Rick Dale <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on GitHub|
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