Package: tdROC 2.0
Xiaoyang Li
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.
Authors:
tdROC_2.0.tar.gz
tdROC_2.0.tar.gz(r-4.5-noble)tdROC_2.0.tar.gz(r-4.4-noble)
tdROC_2.0.tgz(r-4.4-emscripten)tdROC_2.0.tgz(r-4.3-emscripten)
tdROC.pdf |tdROC.html✨
tdROC/json (API)
| # Install 'tdROC' in R: |
| install.packages('tdROC', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:87a18ffb8a. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 08 2024 |
| R-4.5-linux-x86_64 | OK | Dec 08 2024 |
