FBFsearch: Algorithm for Searching the Space of Gaussian Directed Acyclic Graph Models Through Moment Fractional Bayes Factors

We propose an objective Bayesian algorithm for searching the space of Gaussian directed acyclic graph (DAG) models. The algorithm uses moment fractional Bayes factors (MFBF) and is suitable for learning sparse graphs. The algorithm is implemented using Armadillo, an open-source C++ linear algebra library.

Version: 1.3
Imports: Rcpp (≥ 0.12.7)
LinkingTo: Rcpp, RcppArmadillo
Published: 2025-10-26
DOI: 10.32614/CRAN.package.FBFsearch
Author: Davide Altomare [aut, cre], Guido Consonni [aut], Luca La Rocca [aut]
Maintainer: Davide Altomare <davide.altomare at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
In views: GraphicalModels
CRAN checks: FBFsearch results

Documentation:

Reference manual: FBFsearch.html , FBFsearch.pdf

Downloads:

Package source: FBFsearch_1.3.tar.gz
Windows binaries: r-devel: FBFsearch_1.2.zip, r-release: FBFsearch_1.2.zip, r-oldrel: FBFsearch_1.3.zip
macOS binaries: r-release (arm64): FBFsearch_1.3.tgz, r-oldrel (arm64): FBFsearch_1.3.tgz, r-release (x86_64): FBFsearch_1.3.tgz, r-oldrel (x86_64): FBFsearch_1.3.tgz
Old sources: FBFsearch archive

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