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Bayesian networks are a class of models that are widely used for riskassessment of complex operational systems. There are now multiple approaches,as well as implemented software, that guide their construction via datalearning or expert elicitation. However, a constructed Bayesian network needsto be validated before it can be used for practical risk assessment. Here, weillustrate the usage of the bnmonitor R package: the first comprehensivesoftware for the validation of a Bayesian network. An applied data analysisusing bnmonitor is carried out over a medical dataset to illustrate the use ofits wide array of functions.

Sensitivity and robustness analysis in Bayesian networks with the bnmonitor R package