tdROC
Nonparametric Estimation of Time-Dependent ROC, Brier Score, and Survival Difference from Right Censored Time-to-Event Data with or without Competing Risks
The tdROC package facilitates the estimation of time-dependent ROC (Receiver Operating Characteristic) curves and the Area Under the time-dependent ROC Curve (AUC) in the context of survival data, accommodating scenarios with right censored data and the option to account for competing risks. In addition to the ROC/AUC estimation, the package also estimates time-dependent Brier score and survival difference. Confidence intervals of various estimated quantities can be obtained from bootstrap. The package also offers plotting functions for visualizing time-dependent ROC curves.
- Version2.0
- R version≥ 3.6.0
- LicenseMIT
- LicenseLICENSE
- Needs compilation?Yes
- Last release12/13/2023
Documentation
Team
Xiaoyang Li
Liang Li
Show author detailsRolesAuthor, Thesis advisorZhe Yin
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 220 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 5 times.
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Last 365 days
This package has been downloaded 2,938 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jul 21, 2024 with 71 downloads.
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Dependencies
- Imports3 packages
- Linking To1 package