Bayesian networks (BNs) are widely used for modeling complex systems with uncertainty, yet repositories of pre-built BNs remain limited. This paper introduces bnRep, an open-source R package offering a comprehensive collection of documented BNs, facilitating benchmarking, replicability, and education. With over 200 networks from academic publications, bnRep integrates seamlessly with bnlearn and other R packages, providing users with interactive tools for network exploration.
@article{arxiv.2409.19158,
title = {bnRep: A repository of Bayesian networks from the academic literature},
author = {Manuele Leonelli},
journal= {arXiv preprint arXiv:2409.19158},
year = {2024}
}