pchc: Bayesian Network Learning with the PCHC Algorithm

Bayesian network learning using the PCHC algorithm. PCHC stands for PC Hill-Climbing. It is a new hybrid algorithm that used PC to construct the skeleton of the BN and then utilizes the Hill-Climbing greedy search. The relevant paper has been submitted and is currently in revision.

Version: 0.1
Depends: R (≥ 3.6.0)
Imports: bnlearn, Rfast, robustbase, stats
Published: 2020-07-06
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris at uoc.gr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: pchc results


Reference manual: pchc.pdf
Package source: pchc_0.1.tar.gz
Windows binaries: r-devel: pchc_0.1.zip, r-release: pchc_0.1.zip, r-oldrel: pchc_0.1.zip
macOS binaries: r-release: pchc_0.1.tgz, r-oldrel: pchc_0.1.tgz


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