Statistical Inference for Box-Cox Based Receiver Operating Characteristic Curves R package rocbc version 3.2.0 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. Software Imports: pracma, clinfun, splancs, mvtnorm, formattable, MRMCaov, pROC Suggests: knitr, markdown, matlab Benjamin Brewer <tennisbenj@gmail.com> Comprehensive R Archive Network (CRAN) Leonidas Bantis [aut], Benjamin Brewer [cre, ctb], Christos Nakas [ctb], Benjamin Reiser [ctb] GPL-3 2026-01-16 application/tgz https://CRAN.R-project.org/package=rocbc doi:10.32614/CRAN.package.rocbc