Acyclic digraphs are the underlying representation of Bayesian networks, a widely used class of probabilistic graphical models. Learning the underlying graph from data is a way of gaining insights abo
Supplemental files associated with the article entitled "Using Diagnostic Classification Models to Validate Attribute Hierarchies and Evaluate Model Fit in Bayesian Networks"
**Munin Bayesian Network. Sample 6.** bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-massive.html#munin) - Number of nodes: 1041 - Number of arcs