theft2 {bnRep} | R Documentation |
theft Bayesian Networks
Description
Evaluating methods for setting a prior probability of guilt.
Format
A discrete Bayesian network representing a legal scenario. Probabilities were given within the referenced paper. The vertices are:
- AtCrimeScene
(F, T);
- EredHanded
(F, T);
- EseenCS
(F, T);
- EWallet
(F, T);
- Guilty
(F, T);
Value
An object of class bn.fit
. Refer to the documentation of bnlearn
for details.
References
van Leeuwen, L., Verheij, B., Verbrugge, R., & Renooij, S. (2023). Evaluating Methods for Setting a Prior Probability of Guilt. In Legal Knowledge and Information Systems (pp. 63-72). IOS Press.
[Package bnRep version 0.0.1 Index]