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Estimate nonlinear vector autoregression models (also known as the next generation reservoir computing) for nonlinear dynamic systems. The algorithm was described by Gauthier et al. (2021) <doi:10.1038/s41467-021-25801-2>.
Version: | 0.1.0 |
Imports: | dplyr, magrittr, purrr, rlang, stats, tibble, tidyr |
Suggests: | ggplot2, nonlinearTseries, testthat (≥ 3.0.0) |
Published: | 2024-01-18 |
DOI: | 10.32614/CRAN.package.NVAR |
Author: | Jingmeng Cui |
Maintainer: | Jingmeng Cui <jingmeng.cui at outlook.com> |
BugReports: | https://github.com/Sciurus365/NVAR/issues |
License: | GPL (≥ 3) |
URL: | https://github.com/Sciurus365/NVAR |
NeedsCompilation: | no |
Materials: | README NEWS |
In views: | TimeSeries |
CRAN checks: | NVAR results |
Reference manual: | NVAR.pdf |
Package source: | NVAR_0.1.0.tar.gz |
Windows binaries: | r-devel: NVAR_0.1.0.zip, r-release: NVAR_0.1.0.zip, r-oldrel: NVAR_0.1.0.zip |
macOS binaries: | r-release (arm64): NVAR_0.1.0.tgz, r-oldrel (arm64): NVAR_0.1.0.tgz, r-release (x86_64): NVAR_0.1.0.tgz, r-oldrel (x86_64): NVAR_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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