amalgamation

Computation of the diameter of children conditional probability tables when levels of a variable are merged.

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

amalgamation function

<dl><dt>bnfit</dt>
<dd>object of class <code>bn.fit</code>.</dd>
<dt>node</dt>
<dd>a node of <code>bnfit</code></dd></dl>

Arguments

Amalgamation of levels — amalgamation

<dl>

<dt>bnfit</dt>
<dd>object of class <code>bn.fit</code>.</dd>


<dt>node</dt>
<dd>a node of <code>bnfit</code></dd>

</dl>

amalgamation: Amalgamation of levels

Description

Usage

Value

Arguments

References

Examples