itbnb                   Fit a Threshold-Based Naive Bayes classifier
                        (Tb-NB / iTb-NB)
plot.tbnb               Plot the distribution of decision scores by
                        class
predict.tbnb            Predictions from a fitted 'tbnb' model
summary.tbnb            Summary of a fitted Tb-NB / iTb-NB model
tbnb_available_criteria
                        Names of the criteria supported by 'itbnb()'
                        for threshold optimisation
tbnb_categorize         Categorise the vocabulary of a fitted Tb-NB /
                        iTb-NB model
tbnb_embedding          Configure the word-embedding semantic
                        augmentation of the BoW
tbnb_hospitality_seeds
                        Built-in seed words for hospitality / hotel
                        reviews
tbnb_iterate            Iterative refinement of the decision threshold
                        (iTb-NB)
tbnb_metrics            Compute all binary classification metrics from
                        confusion counts
tbnb_optimize_threshold
                        Cross-validated threshold optimisation for a
                        Tb-NB classifier
tbnb_posthoc_plots      Generate post-hoc analysis plots from a fitted
                        Tb-NB / iTb-NB model
tbnb_preprocess         Configure the text-preprocessing pipeline
tbnb_pvalues            P-values for documents and features (Tb-NB /
                        iTb-NB)
toy_reviews             Toy hotel reviews dataset
