GroupBN: Inferring Group Bayesian Networks using Hierarchical Feature Clustering

Group Bayesian Networks: This package implements the inference of group Bayesian networks based on hierarchical feature clustering, and the adaptive refinement of the grouping regarding an outcome of interest, as described in Becker et. al (2021) <doi:10.1371/journal.pcbi.1008735>.

Version: 1.2.0
Depends: R (≥ 3.5.0), bnlearn, ClustOfVar, PCAmixdata, arules, zoo
Imports: PRROC, MLmetrics, rlist, stats, magrittr, visNetwork, plyr, stringr
Published: 2021-03-07
Author: Ann-Kristin Becker [aut, cre], Lars Kaderali [aut, ths]
Maintainer: Ann-Kristin Becker <annkristinbecker at web.de>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://www.r-project.org
NeedsCompilation: no
Materials: NEWS
CRAN checks: GroupBN results

Downloads:

Reference manual: GroupBN.pdf
Package source: GroupBN_1.2.0.tar.gz
Windows binaries: r-devel: GroupBN_1.2.0.zip, r-release: GroupBN_1.2.0.zip, r-oldrel: GroupBN_1.2.0.zip
macOS binaries: r-release (arm64): GroupBN_1.2.0.tgz, r-release (x86_64): GroupBN_1.2.0.tgz, r-oldrel: GroupBN_1.2.0.tgz
Old sources: GroupBN archive

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