bnRep: A repository of Bayesian networks from the academic literature
This work addresses a resource gap for researchers and practitioners in fields using Bayesian networks, though it is incremental as it primarily compiles existing networks.
The authors tackled the lack of accessible pre-built Bayesian networks by introducing bnRep, an open-source R package that provides over 200 documented networks from academic literature, facilitating benchmarking, replicability, and education.
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.