balanced_folds          Class-balanced cross-validation folds
compare_nsc             Compare homoscedastic and heteroscedastic NSC
                        classifiers on one dataset
compute_rho2            Empirical relative heterogeneity rho_k^2 and
                        the crossover condition
hnsc                    Fit a nearest shrunken centroid classifier with
                        the threshold chosen by cross-validation
hnsc_cv                 Cross-validation for a fitted NSC classifier
hnsc_methods            The six nearest shrunken centroid classifiers
hnsc_select             Choose the threshold by refined ("deep")
                        cross-validation
hnsc_train              Train a nearest shrunken centroid classifier
                        over a grid of thresholds
make_cm                 Confusion matrix, per-class recall and balanced
                        accuracy
predict.hnsc            Predict with a nearest shrunken centroid
                        classifier
simulate_hetero_data    Simulate two-class data with correlated
                        informative genes
summary.hnsc_comparison
                        Summaries of a classifier comparison
