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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.

Versions across snapshots

VersionRepositoryFileSize
0.2.4 rolling linux/jammy R-4.5 sindyr_0.2.4.tar.gz 41.5 KiB
0.2.4 rolling linux/noble R-4.5 sindyr_0.2.4.tar.gz 41.5 KiB
0.2.4 rolling source/ R- sindyr_0.2.4.tar.gz 7.5 KiB
0.2.4 latest linux/jammy R-4.5 sindyr_0.2.4.tar.gz 41.5 KiB
0.2.4 latest linux/noble R-4.5 sindyr_0.2.4.tar.gz 41.5 KiB
0.2.4 latest source/ R- sindyr_0.2.4.tar.gz 7.5 KiB
0.2.4 2026-04-26 source/ R- sindyr_0.2.4.tar.gz 7.5 KiB
0.2.4 2026-04-23 source/ R- sindyr_0.2.4.tar.gz 7.5 KiB
0.2.4 2026-04-09 windows/windows R-4.5 sindyr_0.2.4.zip 44.3 KiB
0.2.4 2025-04-20 source/ R- sindyr_0.2.4.tar.gz 7.5 KiB

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