Skip to content
master
Go to file
Code

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
Mar 7, 2020
Sep 25, 2015

README.md

BigVAR

Tools for modeling sparse high-dimensional multivariate time series

For a demonstration of the package's capabilities, see the recently updated BigVAR Tutorial or the slightly out of date user guide available on Arxiv. The shiny app is available here.

Note: This package utilizes C++11, so it requires a compiler with C++11 support (which should include most modern compilers) and a later version of R (version 3.1 is the oldest that I can confirm works).

To install the development version of BigVAR, after installing the devtools package, run the following commands

library(devtools)

install_github("wbnicholson/BigVAR/BigVAR")

The stable version is available on cran.

If you experience any bugs or have feature requests, contact me at wbn8@cornell.edu.

About

Dimension Reduction Methods for Multivariate Time Series

Resources

Releases

No releases published

Packages

No packages published
You can’t perform that action at this time.