BigVAR: Dimension Reduction Methods for Multivariate Time Series

Estimates VAR and VARX models with Structured Penalties.

Version: 1.1.1
Depends: R (≥ 3.5.0), methods, lattice
Imports: MASS, zoo, Rcpp, stats, utils, grDevices, graphics, abind
LinkingTo: Rcpp, RcppArmadillo, RcppEigen
Suggests: knitr, rmarkdown, gridExtra, expm, MCS, quantmod, codetools
Published: 2022-10-02
Author: Will Nicholson [cre, aut], David Matteson [aut], Jacob Bien [aut]
Maintainer: Will Nicholson <wbn8 at cornell.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/wbnicholson/BigVAR
NeedsCompilation: yes
SystemRequirements: C++11
Materials: NEWS
In views: TimeSeries
CRAN checks: BigVAR results

Documentation:

Reference manual: BigVAR.pdf
Vignettes: BigVAR: Tools for Modeling Sparse Vector Autoregressions with Exogenous Variables

Downloads:

Package source: BigVAR_1.1.1.tar.gz
Windows binaries: r-devel: BigVAR_1.1.1.zip, r-release: BigVAR_1.1.1.zip, r-oldrel: BigVAR_1.1.1.zip
macOS binaries: r-release (arm64): BigVAR_1.1.1.tgz, r-oldrel (arm64): BigVAR_1.1.1.tgz, r-release (x86_64): BigVAR_1.1.1.tgz, r-oldrel (x86_64): BigVAR_1.1.1.tgz
Old sources: BigVAR archive

Reverse dependencies:

Reverse imports: VIRF
Reverse suggests: frequencyConnectedness

Linking:

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