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PCBN: Inference of Pair-Copula Bayesian Networks

Creates, fits and samples Pair-Copula Bayesian networks (PCBN) under some restrictions on the underlying Directed Acyclic Graph (DAG), that is, no active cycles nor interfering v-structures, following Derumigny, Horsman and Kurowicka (2025) <doi:10.48550/arXiv.2510.03518>.

Version: 0.1.1
Imports: bnlearn, igraph, r2r, VineCopula
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0), data.tree, Rgraphviz
Published: 2025-11-17
DOI: 10.32614/CRAN.package.PCBN (may not be active yet)
Author: Alexis Derumigny ORCID iD [aut, cre], Niels Horsman [aut], Dorota Kurowicka [aut]
Maintainer: Alexis Derumigny <a.f.f.derumigny at tudelft.nl>
BugReports: https://github.com/AlexisDerumigny/PCBN/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/AlexisDerumigny/PCBN
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: PCBN results

Documentation:

Reference manual: PCBN.html , PCBN.pdf
Vignettes: B-sets and interfering v-structures (source, R code)
How to use the estimation procedures (source, R code)

Downloads:

Package source: PCBN_0.1.1.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): PCBN_0.1.1.tgz, r-oldrel (x86_64): PCBN_0.1.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=PCBN to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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