covidrisk {bnRep} | R Documentation |
covidrisk Bayesian Network
Description
Highly efficient structural learning of sparse staged trees.
Format
A discrete Bayesian network to to investigate how various country risks and risks associated to the COVID-19 epidemics relate to each other. The Bayesian network is learned as in the referenced paper. The vertices are:
- HAZARD
(low, high);
- VULNERABILITY
(low, high);
- COPING
(low, high);
- RISK
(low, high);
- ECONOMIC
(low, high);
- BUSINESS
(low, high);
- POLITICAL
(low, high);
- COMMERCIAL
(low, high);
- FINANCING
(low, high);
Value
An object of class bn.fit
. Refer to the documentation of bnlearn
for details.
References
Leonelli, M., & Varando, G. (2022, September). Highly efficient structural learning of sparse staged trees. In International Conference on Probabilistic Graphical Models (pp. 193-204). PMLR.
[Package bnRep version 0.0.1 Index]