This implementation of Naive Bayes as well as this help is based on the code by
David Meyer in the package e1071 but extended for kernel estimated densities.
The standard naive Bayes classifier (at least this implementation)
assumes independence of the predictor
variables. For attributes with missing values, the
corresponding table entries are omitted for prediction.