bnRep: A repository of Bayesian networks from the academic literature

TL;DR

bnRep is an open-source R package that provides a comprehensive collection of over 200 documented Bayesian networks from academic literature, enhancing benchmarking, replicability, and education in the field.

Contribution

It introduces bnRep, a new repository of Bayesian networks integrated with R packages, which is the first extensive collection of its kind for academic networks.

Findings

Over 200 Bayesian networks included

Seamless integration with bnlearn and R tools

Facilitates benchmarking and educational use

Abstract

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.