Bayesian Structure Learning and Sampling of Bayesian Networks with the R Package BiDAG

Bayesian Structure Learning and Sampling of Bayesian Networks with the R Package BiDAG

The R package BiDAG implements Markov chain Monte Carlo (MCMC) methods for structure learning and sampling of Bayesian networks. The package includes tools to search for a maximum a posteriori (MAP) graph and to sample graphs from the posterior distribution given the data. A new hybrid approach to...

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Bibliographic Details
Main Authors: Polina Suter, Jack Kuipers, Giusi Moffa, Niko Beerenwinkel
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2023-01-01
Series:Journal of Statistical Software
Subjects:
statistics
software
Bayesian statistics
Bayesian networks
structure learning
Online Access:https://www.jstatsoft.org/index.php/jss/article/view/4419

Internet

https://www.jstatsoft.org/index.php/jss/article/view/4419

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