volleyball: volleyball Bayesian Networks

volleyballR Documentation

volleyball Bayesian Networks

Description

Modeling psychological profiles in volleyball via mixed-type Bayesian networks.

Format

A discrete Bayesian network to model the psychological profiles of volleyball athletes. Probabilities are estimated from data. The vertices are:

agreeableness

(One, Two, Three, Four, Five);

concentration_disruption

(One, Two, Three, Four, Five, Six);

conscientiousness

(One, Two, Three, Four, Five);

emotional_arousal

(One, Two, Three, Four, Five, Six);

extraversion

(One, Two, Three, Four, Five);

goal_setting

(One, Two, Three, Four, Five, Six);

match_preparation

(One, Two, Three, Four, Five, Six);

mental_practice

(One, Two, Three, Four, Five, Six);

neuroticism

(One, Two, Three, Four, Five);

openness

(One, Two, Three, Four, Five);

self_confidence

(One, Two, Three, Four, Five, Six);

self_esteem

(One, Two, Three, Four);

self_talk

(One, Two, Three, Four, Five, Six);

worry

(One, Two, Three, Four, Five, Six);

Value

An object of class bn.fit. Refer to the documentation of bnlearn for details.

References

Iannario, M., Lee, D. J., & Leonelli, M. (2025). Modeling Psychological Profiles in Volleyball via Mixed-Type Bayesian Networks. arXiv preprint arXiv:2509.22111.


bnRep documentation built on Nov. 5, 2025, 6:18 p.m.