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:Xiaoyang Li [aut, cre], Zhe Yin [aut], Liang Li [aut, ths]

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)

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

5 exports 1.80 score 5 dependencies 7 mentions 23 scripts 172 downloads

Last updated 9 months agofrom:87a18ffb8a. Checks:OK: 2. Indexed: yes.

Exports:%>%plot_tdROCplot_tdROC_crtdROCtdROC.cr

Dependencies:latticemagrittrMatrixRcppsurvival