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.
|Author||Pariya Behrouzi [aut, cre], Fentaw Abegaz [aut], Ernst Wit [ctb]|
|Maintainer||Pariya Behrouzi <firstname.lastname@example.org>|
|License||GPL (>= 3)|
|Package repository||View on CRAN|
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