moodstate {bnRep} | R Documentation |
moodstate Bayesian Network
Description
Inference of mood state indices by using a multimodal high-level information fusion technique.
Format
A discrete Bayesian network to perform high-level information fusion. Probabilities were given within the referenced paper (one node is not included). The vertices are:
- Anxiety
(0-2, 3-5);
- DepressiveState
(TRUE, FALSE);
- EEG
(>0, <0);
- Energy
(0-2, 3-5);
- Irritability
(0-3, 4-5);
- MoodState
(+3, +2, +1, 0, -1, -2, -3);
- Sleep
(<6 Hours, >6 Hours;
Value
An object of class bn.fit
. Refer to the documentation of bnlearn
for details.
References
Tai, C. H., Chung, K. H., Teng, Y. W., Shu, F. M., & Chang, Y. S. (2021). Inference of mood state indices by using a multimodal high-level information fusion technique. IEEE Access, 9, 61256-61268.
[Package bnRep version 0.0.1 Index]