Package: sindyr 0.2.4

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.

Authors:Rick Dale and Harish S. Bhat

sindyr_0.2.4.tar.gz
sindyr_0.2.4.zip(r-4.5)sindyr_0.2.4.zip(r-4.4)sindyr_0.2.4.zip(r-4.3)
sindyr_0.2.4.tgz(r-4.4-any)sindyr_0.2.4.tgz(r-4.3-any)
sindyr_0.2.4.tar.gz(r-4.5-noble)sindyr_0.2.4.tar.gz(r-4.4-noble)
sindyr_0.2.4.tgz(r-4.4-emscripten)sindyr_0.2.4.tgz(r-4.3-emscripten)
sindyr.pdf |sindyr.html✨
sindyr/json (API)

Peer review:

Bug tracker:https://github.com/racdale/sindyr/issues

On CRAN:

6 exports 13 stars 1.81 score 16 dependencies 8 scripts 211 downloads

Last updated 5 months agofrom:ff9c7029cf. Checks:OK: 7. Indexed: yes.

Exports:featuresfinite_differencefinite_differenceslorenzattractorsindywindowed_sindy

Dependencies:arrangementsclicpp11gluegmpigraphlatticelifecyclemagrittrMatrixmatrixStatspkgconfigpracmaR6rlangvctrs