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multivar: Penalized Estimation of Multiple-Subject Vector Autoregressive(multi-VAR) Models

Functions for simulating, estimating and forecasting stationary Vector Autoregressive (VAR) models for multiple subject data using the penalized multi-VAR framework in Fisher, Kim and Pipiras (2020) <doi:10.48550/arXiv.2007.05052>.

Version:1.1.0
Depends:R (≥ 2.10)
Imports:methods, stats, utils,MASS,Rcpp (≥ 1.0.3),Matrix,ggplot2,vars,reshape2,glmnet
LinkingTo:Rcpp,RcppArmadillo
Suggests:knitr,rmarkdown
Published:2022-05-27
DOI:10.32614/CRAN.package.multivar
Author:Zachary Fisher [aut, cre], Younghoon Kim [ctb], Vladas Pipiras [ctb]
Maintainer:Zachary Fisher <fish.zachary at gmail.com>
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:yes
Materials:README
CRAN checks:multivar results[issues need fixing before 2025-12-18]

Documentation:

Reference manual:multivar.html ,multivar.pdf
Vignettes:Getting Started with multi-VAR (source)

Downloads:

Package source: multivar_1.1.0.tar.gz
Windows binaries: r-devel:multivar_1.1.0.zip, r-release:multivar_1.1.0.zip, r-oldrel:multivar_1.1.0.zip
macOS binaries: r-release (arm64):multivar_1.1.0.tgz, r-oldrel (arm64):multivar_1.1.0.tgz, r-release (x86_64):multivar_1.1.0.tgz, r-oldrel (x86_64):multivar_1.1.0.tgz
Old sources: multivar archive

Linking:

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


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