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The Multivariate Granger Causality (MVGC) Toolbox

version 1.1 (1.54 MB) by LionelB
The MVGC Multivariate Granger Causality Toolbox facilitates Granger-causal inference from time-series data.

39 Downloads

Updated 24 Oct 2020

GitHub view license on GitHub

This toolbox, developed at the Sackler Centre for Consciousness Science,
University of Sussex, UK, provides MATLAB routines for efficient and accurate
estimation and statistical inference of multivariate Granger causality from
time-series data, as described in:

Lionel Barnett and Anil K. Seth, "The MVGC Multivariate Granger Causality Toolbox:
A new approach to Granger-causal inference", J. Neurosci. Methods 223 (2014), pp 50-68.

For general support issues, comments, questions, bug reports and suggested enhancements,
please email mvgctoolbox@sussex.ac.uk. We would especially like to know if you have
found the toolbox useful in your research.

Cite As

Lionel Barnett and Anil K. Seth, "The MVGC Multivariate Granger Causality Toolbox: A new approach to Granger-causal inference", J. Neurosci. Methods 223 (2014), pp 50-68. DOI: 10.1016/j.jneumeth.2013.10.018

Comments and Ratings (1)

qiang du

MATLAB Release Compatibility
Created with R2019b
Compatible with R2016b and later releases
Platform Compatibility
Windows macOS Linux

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