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.

Version: 2.0
Depends: R (≥ 3.6.0)
Imports: survival (≥ 3.4), graphics (≥ 4.2.2), stats (≥ 4.2.2), Rcpp (≥ 1.0.10), magrittr (≥ 2.0.3)
LinkingTo: Rcpp (≥ 1.0.10)
Published: 2023-12-13
Author: Xiaoyang Li [aut, cre], Zhe Yin [aut], Liang Li [aut, ths]
Maintainer: Xiaoyang Li <xli35 at>
License: MIT + file LICENSE
NeedsCompilation: yes
In views: Survival
CRAN checks: tdROC results


Reference manual: tdROC.pdf


Package source: tdROC_2.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): tdROC_2.0.tgz, r-oldrel (arm64): tdROC_2.0.tgz, r-release (x86_64): tdROC_2.0.tgz
Old sources: tdROC archive


Please use the canonical form to link to this page.