Sparse Identification of Nonlinear Dynamics R package sindyr version 0.2.4 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. Software Depends: R (>= 3.4), arrangements, matrixStats, igraph, graphics, grDevices Imports: pracma Rick Dale <racdale@gmail.com> Comprehensive R Archive Network (CRAN) Rick Dale and Harish S. Bhat GPL (>= 2) 2024-05-01 application/tgz https://CRAN.R-project.org/package=sindyr doi:10.32614/CRAN.package.sindyr