构建了200多个学术贝叶斯网络的开源库，支持复现与教学。
bnRep: A repository of Bayesian networks from the academic literature
- 整合200+篇论文中的贝叶斯网络，统一格式存储。
- 兼容bnlearn等R工具，提供交互式探索界面。
- 适合需要复现或教学的科研人员使用。
贝叶斯网络广泛用于建模不确定性复杂系统，但现有预构建网络资源有限。本文提出bnRep，一个开源R包，包含来自学术出版物的200多个已文档化贝叶斯网络，支持基准测试、可复现性研究和教学应用。bnRep可无缝集成于bnlearn等R生态工具中，为用户提供网络探索的交互式功能。
原文摘要 · Abstract (English)
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.
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