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
Insights
Last 30 days
This package has been downloaded 670 times in the last 30 days. Not bad! The download count is somewhere between 'small-town buzz' and 'moderate academic conference'. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 4 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 7,781 times in the last 365 days. That's a lot of interest! Someone might even write a blog post about it. The day with the most downloads was Jul 21, 2024 with 140 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports7 packages
- Suggests3 packages