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rocbc (version 3.2.0)

Statistical Inference for Box-Cox Based Receiver Operating Characteristic Curves

Description

Generation of Box-Cox based ROC curves and several aspects of inferences and hypothesis testing. Can be used when inferences for one biomarker (Bantis LE, Nakas CT, Reiser B. (2018)) are of interest or when comparisons of two correlated biomarkers (Bantis LE, Nakas CT, Reiser B. (2021)) are of interest. Provides inferences and comparisons around the AUC, the Youden index, the sensitivity at a given specificity level (and vice versa), the optimal operating point of the ROC curve (in the Youden sense), and the Youden based cutoff.

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Version

Install

install.packages('rocbc')

Monthly Downloads

591

Version

3.2.0

License

GPL-3

Maintainer

Benjamin Brewer

Last Published

January 16th, 2026

Functions in rocbc (3.2.0)

rocboxcox

Comprehensive Box-Cox ROC analysis for a single marker
comparebcJ

Performs inference to compare the Youden Indices of two correlated (or uncorrelated) Box-Cox transformed biomarkers at a given nominal level
comparebcSpec

Performs inference to compare the specificities of two correlated (or uncorrelated) Box-Cox transformed biomarkers at a given sensitivity and a given nominal level
comparebcSens

Performs inference to compare the sensitivities of two correlated (or uncorrelated) Box-Cox transformed biomarkers at a given specificty and a given nominal level
checkboxcox

Tests whether Box-Cox is appropriate for the given dataset (one-marker version)
checkboxcox2

Tests whether Box-Cox is appropriate for the given dataset (two-marker version)
comparebcAUC

Performs inference to compare the AUCs of two correlated (or uncorrelated) Box-Cox transformed biomarkers at a given nominal level
rocboxcoxCI

Inference around the sensitivity at a given specificity (and vice versa) for a single Box-Cox transformed biomarker
threerocs2

Provides visual comparison of three ROC estimation methods (two-marker version)
threerocs

Provides visual comparison of three ROC estimation methods (one-marker version)