R: Hierarchical Neyman-Pearson Classification for Ordered Classes

# Hierarchical Neyman-Pearson Classification for Ordered Classes

## Documentation for package ‘HNPclassifier’ version 0.1.0

- DESCRIPTION file

## Help Pages

base_function | Base Classifier Training function Train a base multi-class model (RF / SVM / Multinomial Logistic)
hnp_box_plot | HNP Box Plot Experiment
hnp_delta_search | Delta search
hnp_map_classes | Classes Mapping function for HNP Algorithm Map class labels to canonical levels "1", "2", "3"
hnp_summary | hnp_summary Summarize a ternary classifier's performance
hnp_umbrella | HNP Umbrella Algorithm
hnp_umbrella_flex | HNP Umbrella (flex): use custom score functions and pre-split data
hnp_upper_bound | Upper Bound of the ith Threshold (Optimal ith Threshold)
probability_to_score_1 | T1 Calculation Create T1 scoring function from a fitted model
probability_to_score_2 | T2 Calculation Create T2 scoring function as ratio P(class 2)/P(class 3)