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.zip(r-4.7-x86_64)tdROC_2.0.zip(r-4.7-arm64)tdROC_2.0.zip(r-4.6-x86_64)tdROC_2.0.zip(r-4.6-arm64)
tdROC_2.0.tar.gz(r-4.7-arm64)tdROC_2.0.tar.gz(r-4.7-x86_64)tdROC_2.0.tar.gz(r-4.6-arm64)tdROC_2.0.tar.gz(r-4.6-x86_64)
tdROC_2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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 from:87a18ffb8a. Checks:10 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 132 | ||
| linux-devel-x86_64 | OK | 132 | ||
| source / vignettes | OK | 170 | ||
| linux-release-arm64 | OK | 130 | ||
| linux-release-x86_64 | OK | 116 | ||
| windows-devel-arm64 | OK | 223 | ||
| windows-devel-x86_64 | OK | 143 | ||
| windows-release-arm64 | OK | 185 | ||
| windows-release-x86_64 | OK | 225 | ||
| wasm-release | OK | 112 |