rocbc: Statistical Inference for Box-Cox Based Receiver Operating Characteristic Curves

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)<doi:10.1002/bimj.201700107>) are of interest or when comparisons of two correlated biomarkers (Bantis LE, Nakas CT, Reiser B. (2021)<doi:10.1002/bimj.202000128>) 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.

Getting started

Package details

AuthorLeonidas Bantis [aut], Benjamin Brewer [cre, ctb], Christos Nakas [ctb], Benjamin Reiser [ctb]
MaintainerBenjamin Brewer <tennisbenj@gmail.com>
LicenseGPL-3
Version3.1.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("rocbc")

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rocbc documentation built on June 22, 2024, 11:10 a.m.