RTransferEntropy
Measuring Information Flow Between Time Series with Shannon and Renyi Transfer Entropy
Measuring information flow between time series with Shannon and Rényi transfer entropy. See also Dimpfl and Peter (2013) doi:10.1515/snde-2012-0044 and Dimpfl and Peter (2014) doi:10.1016/j.intfin.2014.03.004 for theory and applications to financial time series. Additional references can be found in the theory part of the vignette.
- Version0.2.21
- R version≥ 3.1.2
- LicenseGPL-3
- Needs compilation?Yes
- RTransferEntropy citation info
- Last release02/01/2023
Documentation
Team
David Zimmermann
MaintainerShow author detailsSimon Behrendt
Show author detailsRolesAuthorThomas Dimpfl
Show author detailsRolesAuthorFranziska Peter
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 708 times in the last 30 days. More downloads than an obscure whitepaper, but not enough to bring down any servers. A solid effort! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 44 times.
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Last 365 days
This package has been downloaded 7,714 times in the last 365 days. That's a lot of interest! Someone might even write a blog post about it. The day with the most downloads was Jan 15, 2025 with 96 downloads.
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Dependencies
- Imports3 packages
- Suggests10 packages
- Linking To1 package
- Reverse Depends1 package
- Reverse Suggests1 package