synthetic_bn

<code>synthetic_bn</code> is a <code>bn.fit</code> object for a simple Bayesian network involving three variables.

datasets

An implementation of sensitivity and robustness methods in Bayesian networks in R. It includes methods to perform parameter variations via a variety of co-variation schemes, to compute sensitivity functions and to quantify the dissimilarity of two Bayesian networks via distances and divergences. It further includes diagnostic methods to assess the goodness of fit of a Bayesian networks to data, including global, node and parent-child monitors. Reference: M. Leonelli, R. Ramanathan, R.L. Wilkerson (2022) <doi:10.1016/j.knosys.2023.110882>.

Manuele Leonelli

bnmonitor

An Implementation of Sensitivity Analysis in Bayesian Networks

Ramsiya Ramanathan

Rachel Wilkerson

synthetic_bn function

The Bayesian network <code>bnsens_example</code> comprehends the following nodes:<ul>
<li>y1: three-level factor with levels 1, 2, 3.</li>
<li>y2: three-level factor with levels 1, 2, 3.</li>
<li>y3: three-level factor with levels 1, 2, 3.</li>
</ul>

synthetic_bn: A synthetic Bayesian network

Description

Usage

Arguments

Format