This directory contains examples that show how to set up Bayesian networks and perform inference in them.
The subfolders in tutorials
contain step-by-step instructions
as Rmarkdown, pdf, and html files to create simple Bayesian networks along
with explanations of the concepts, functions and the general workflow.
The subfolders in paper
contain the Bayesian network examples described in
the paper Nuclear data evaluation with Bayesian networks available on
arxiv.
Due to the higher complexity of these Bayesian networks, it is certainly easier
to start with the examples in the tutorials
folder.
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