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.
| Version: |
0.3.0 |
| Imports: |
pracma, clinfun, splancs, mvtnorm, formattable |
| Suggests: |
knitr, markdown, matlab |
| Published: |
2022-12-21 |
| 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 |
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