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, in press <doi:10.1016/j.cogsys.2018.06.020>).

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Description file content

Package
sindyr
Type
Package
Title
Sparse Identification of Nonlinear Dynamics
Version
0.2.2
Date
2019-08-05
Author
Rick Dale and Harish S. Bhat
Maintainer
Rick Dale
Description
This implements the Brunton et al (2016; PNAS ) 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 ).
Depends
R (>= 3.4), pracma, arrangements, matrixStats, igraph, graphics, grDevices, crqa
License
GPL (>= 2)
Collate
'windowed_sindy.R' 'sindy.R' 'features.R' 'finite_differences.R' 'finite_difference.R'
NeedsCompilation
no
Packaged
2019-08-07 20:45:38 UTC; rickdale
Repository
CRAN
Date/Publication
2019-08-07 21:10:02 UTC

install.packages('sindyr')

0.2.2

14 days ago

Rick Dale

GPL (>= 2)

Depends on

R (>= 3.4), pracma, arrangements, matrixStats, igraph, graphics, grDevices, crqa

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