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. (https://doi.org/10.1002/bimj.201700107) are of interest or when comparisons of two correlated biomarkers (Bantis LE, Nakas CT, Reiser B. (https://doi.org/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.
- Version3.1.0
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release04/22/2024
Documentation
Team
Benjamin Brewer
Benjamin Reiser
Show author detailsRolesContributorLeonidas Bantis
Show author detailsRolesAuthorChristos Nakas
Show author detailsRolesContributor
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- Imports7 packages
- Suggests3 packages