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sindyr  

Sparse Identification of Nonlinear Dynamics
View on CRAN: Click here


Download and install sindyr package within the R console
Install from CRAN:
install.packages("sindyr")

Install from Github:
library("remotes")
install_github("cran/sindyr")

Install by package version:
library("remotes")
install_version("sindyr", "0.2.4")



Attach the package and use:
library("sindyr")
Maintained by
Rick Dale
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-08-16
Latest Update: 2024-05-01
Description:
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>).
How to cite:
Rick Dale (2018). sindyr: Sparse Identification of Nonlinear Dynamics. R package version 0.2.4, https://cran.r-project.org/web/packages/sindyr. Accessed 08 Mar. 2026.
Previous versions and publish date:
0.2.1 (2018-09-10 23:50), 0.2.2 (2019-08-07 23:10), 0.2.3 (2020-06-09 07:20), 0.2 (2018-08-16 11:30)
Other packages that cited sindyr R package
View sindyr citation profile
Other R packages that sindyr depends, imports, suggests or enhances
Complete documentation for sindyr
Functions, R codes and Examples using the sindyr R package
Some associated functions: features . finite_difference . finite_differences . sindy . sindyr-package . windowed_sindy . 
Some associated R codes: features.R . finite_difference.R . finite_differences.R . sindy.R . windowed_sindy.R .  Full sindyr package functions and examples
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