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]