Estimation of large Vector AutoRegressive (VAR), Vector AutoRegressive with Exogenous Variables X (VARX) and Vector AutoRegressive Moving Average (VARMA) Models with Structured Lasso Penalties, see Nicholson, Bien and Matteson (2017) <arXiv:1412.5250v2> and Wilms, Basu, Bien and Matteson (2017) <arXiv:1707.09208>.
Version: | 0.1.0 |
Depends: | R (≥ 3.1.0), methods |
Imports: | MASS, zoo, lattice, Rcpp, stats, utils, grDevices, graphics, corrplot |
LinkingTo: | Rcpp, RcppArmadillo, RcppEigen |
Published: | 2017-11-09 |
Author: | Ines Wilms [cre, aut], David S. Matteson [aut], Jacob Bien [aut], Sumanta Basu [aut] |
Maintainer: | Ines Wilms <ines.wilms at kuleuven.be> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | http://github.com/ineswilms/bigtime |
NeedsCompilation: | yes |
SystemRequirements: | C++11 |
In views: | TimeSeries |
CRAN checks: | bigtime results |
Reference manual: | bigtime.pdf |
Package source: | bigtime_0.1.0.tar.gz |
Windows binaries: | r-devel: bigtime_0.1.0.zip, r-release: bigtime_0.1.0.zip, r-oldrel: bigtime_0.1.0.zip |
macOS binaries: | r-release: bigtime_0.1.0.tgz, r-oldrel: bigtime_0.1.0.tgz |
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