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.

Version: 1.2
Depends: R (≥ 3.3.2)
Imports: QUIC, igraph, longitudinal, parallel
Published: 2020-02-29
Author: Pariya Behrouzi [aut, cre], Fentaw Abegaz [aut], Ernst Wit [ctb]
Maintainer: Pariya Behrouzi <pariya.behrouzi at wur.nl>
License: GPL (≥ 3)
NeedsCompilation: yes
CRAN checks: tsnetwork results


Reference manual: tsnetwork.pdf
Package source: tsnetwork_1.2.tar.gz
Windows binaries: r-prerelease: tsnetwork_1.2.zip, r-release: tsnetwork_1.2.zip, r-oldrel: tsnetwork_1.2.zip
macOS binaries: r-prerelease: tsnetwork_1.2.tgz, r-release: tsnetwork_1.2.tgz, r-oldrel: tsnetwork_1.2.tgz


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