pROC
Display and Analyze ROC Curves
Tools for visualizing, smoothing and comparing receiver operating characteristic (ROC curves). (Partial) area under the curve (AUC) can be compared with statistical tests based on U-statistics or bootstrap. Confidence intervals can be computed for (p)AUC or ROC curves.
- Version1.18.5
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- pROC citation info
- Last release11/01/2023
Documentation
Team
Xavier Robin
Stefan Siegert
Show author detailsRolesContributorZane Billings
Show author detailsRolesContributorAlexandre Hainard
Show author detailsRolesAuthorFrédérique Lisacek
Show author detailsRolesAuthorMarkus Müller
Show author detailsRolesAuthorJean-Charles Sanchez
Show author detailsRolesAuthorNatalia Tiberti
Show author detailsRolesAuthorNatacha Turck
Show author detailsRolesAuthorMatthias Doering
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 150,559 times in the last 30 days. This is the kind of download count that makes grant committees nod approvingly. A job well done, even the stoic reviewers might be impressed! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 6,077 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 1,595,117 times in the last 365 days. Whoa! That's more downloads than an AI-generated meme in a tech-savvy group chat. Truly legendary! The day with the most downloads was Dec 03, 2024 with 7,607 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
- Imports2 packages
- Suggests8 packages
- Linking To1 package
- Reverse Depends10 packages
- Reverse Imports103 packages
- Reverse Suggests27 packages