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.
Version: 3.1.0 Imports: pracma, clinfun, splancs, mvtnorm, formattable, MRMCaov, pROC Suggests: knitr, markdown, matlab Published: 2024-04-22 DOI: 10.32614/CRAN.package.rocbc Author: Leonidas Bantis [aut], Benjamin Brewer [cre, ctb], Christos Nakas [ctb], Benjamin Reiser [ctb] Maintainer: Benjamin Brewer <tennisbenj at gmail.com> License: GPL-3 NeedsCompilation: no CRAN checks: rocbc results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=rocbc to link to this page.
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