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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 CuiORCID iD [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.html ,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

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=NVARto link to this page.


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