cv.npcs                 Compare the performance of the NPMC-CX,
                        NPMC-ER, and vanilla models through
                        cross-validation or bootstrapping methods
error_rate              Calculate the error rates for each class.
gamma_smote             Gamma-synthetic minority over-sampling
                        technique (gamma-SMOTE).
generate_data           Generate the data.
npcs                    Fit a multi-class Neyman-Pearson classifier
                        with error controls via cost-sensitive
                        learning.
predict.npcs            Predict new labels from new data based on the
                        fitted NPMC classifier.
print.cv.npcs           Print the cv.npcs object.
