Heteroscedastic Nearest Shrunken Centroid Classification

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Documentation for package ‘hetNSC’ version 0.1.0

• DESCRIPTION file
• User guides, package vignettes and other documentation
• Package NEWS
• Package README

Help Pages

balanced_acc	Confusion matrix, per-class recall and balanced accuracy
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
per_class_recall	Confusion matrix, per-class recall and balanced accuracy
predict.hnsc	Predict with a nearest shrunken centroid classifier
recall_table	Summaries of a classifier comparison
simulate_hetero_data	Simulate two-class data with correlated informative genes
summary.hnsc_comparison	Summaries of a classifier comparison