beatles: beatles Bayesian Network
In bnRep: A Repository of Bayesian Networks from the Academic Literature
beatles R Documentation
beatles Bayesian Network
Description
Measuring coherence with Bayesian networks.
Format
A discrete Bayesian modelling a situation where a member of the Beatles band might be dead. Probabilities were given within the referenced paper. The vertices are:
- ExactlyOneBeatlesIsDead
(TRUE, FALSE);
- GeorgeIsAlive
(TRUE, FALSE);
- JohnIsAlive
(TRUE, FALSE);
- PaulIsAlive
(TRUE, FALSE);
- RingoIsAlive
(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.
bnRep documentation built on April 12, 2025, 1:13 a.m.
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| beatles | R Documentation |
beatles Bayesian Network
Description
Measuring coherence with Bayesian networks.
Format
A discrete Bayesian modelling a situation where a member of the Beatles band might be dead. Probabilities were given within the referenced paper. The vertices are:
- ExactlyOneBeatlesIsDead
(TRUE, FALSE);
- GeorgeIsAlive
(TRUE, FALSE);
- JohnIsAlive
(TRUE, FALSE);
- PaulIsAlive
(TRUE, FALSE);
- RingoIsAlive
(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.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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