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tsnetwork: Constructing Dynamic Networks for Time-Series Data
Implements the method in Behrouzi, Abegaz, and Wit (2018) <arXiv:1805.09840> to learn intra-time and inter-time conditional independence networks for ordinal time-series data and mixed discrete-and-continuous time-series data. This package assumes a stationary process, where both instantaneous and dynamic networks stay fixed over time.
Getting started
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Package details |
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| Author | Pariya Behrouzi [aut, cre], Fentaw Abegaz [aut], Ernst Wit [ctb] |
| Maintainer | Pariya Behrouzi <pariya.behrouzi@wur.nl> |
| License | GPL (>= 3) |
| Version | 1.2 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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