Hello stackoverflow community,

Im working on a uni-project in which we try to create Bayesian Network Classifier from data in R. Ideally the classifier should be based on a General Bayesian Network (GNB) or a BN Augmented Naive Bayes(BAN). Unfortunately Im yet to find a suitabel package to create either of those nets in R. My research led me to the following two packages:

1. bnclassify, the most prominent package for BN classification, doesnt include GNBs or BANs at all.
2. bnlearn offers the possibility to learn GNBs but according to the creator the learning is focused on returning the correct dependence structure rather than maximizing the predictive accuracy for classification. I've tried to use them for my classification problem nonetheless but the result was underwhelming.

So my question is if anyone knows a R package to classify with GNBs or BANs OR how to work with the GNBs fron bnlearn to improve their predictive accuracy for classification problems.

Thanks you for your help in advance.

Best Regards