NVAR: Nonlinear Vector Autoregression Models
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 
[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 |
Downloads:
| 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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