bnRep (version 0.0.3)

algalactivity2: algalactivity Bayesian Networks

Description

Influence of resampling techniques on Bayesian network performance in predicting increased algal activity.

Value

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

Format

A discrete Bayesian network to to predict chlorophyll-a (chl-a) using a range of water quality parameters as predictors (Fig. 7 of the referenced paper). Probabilities were given within the referenced paper. The vertices are:

C

(0, 1);

Chl_a

(0, 1);

DO

(0, 1);

N

(0, 1);

P

(0, 1);

pH

(0, 1);

Te

(0, 1);

Tu

(0, 1);

References

Rezaabad, M. Z., Lacey, H., Marshall, L., & Johnson, F. (2023). Influence of resampling techniques on Bayesian network performance in predicting increased algal activity. Water Research, 244, 120558.