edge_strength

Computation of the measure of edge strength for all edges in a Bayesian networks

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

edge_strength function

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

Arguments

Strength of edges in a Bayesian network — edge_strength

<dl>

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

</dl>

edge_strength: Strength of edges in a Bayesian network

Description

Usage

Value

Arguments

Details

References

See Also

Examples