rocbc: Statistical Inference for Box-Cox Based Receiver OperatingCharacteristic 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.
| 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 formhttps://CRAN.R-project.org/package=rocbcto link to this page.