NVAR: Nonlinear Vector Autoregression Models (original) (raw)
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 |
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| 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  [aut, cre] |
| 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 |
Documentation:
| Reference manual: | NVAR.pdf |
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Downloads:
| Package source: | NVAR_0.1.0.tar.gz |
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| 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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