sallyclark {bnRep}R Documentation

sallyclark Bayesian Network

Description

Measuring coherence with Bayesian networks.

Format

A discrete Bayesian modelling the evidence from the Sally Clark trial. Probabilities were given within the referenced paper. The vertices are:

ABrusing

(TRUE, FALSE);

ADisease

(TRUE, FALSE);

AMurder

(TRUE, FALSE);

BBruising

(TRUE, FALSE);

BDisease

(TRUE, FALSE);

BMurder

(TRUE, FALSE);

Value

An object of class bn.fit. Refer to the documentation of bnlearn for details.

References

Kowalewska, A., & Urbaniak, R. (2023). Measuring coherence with Bayesian networks. Artificial Intelligence and Law, 31(2), 369-395.


[Package bnRep version 0.0.1 Index]