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tdROC
View on CRAN: Click
here
Download and install tdROC package within the R console
Install from CRAN:
install.packages("tdROC")
Install from Github:
library("remotes")
install_github("cran/tdROC") Install by package version:
library("remotes")
install_version("tdROC", "2.0") Attach the package and use:
library("tdROC")
Maintained by
Xiaoyang Li
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-03-30
Latest Update: 2023-12-13
Description:
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.
How to cite:
Xiaoyang Li (2016). tdROC: Nonparametric Estimation of Time-Dependent ROC, Brier Score, and Survival Difference from Right Censored Time-to-Event Data with or without Competing Risks. R package version 2.0, https://cran.r-project.org/web/packages/tdROC. Accessed 26 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:12), 1.0 (2016-03-30 00:59)
Other packages that cited tdROC R package
View tdROC citation profile
Other R packages that tdROC depends,
imports, suggests or enhances
Complete documentation for tdROC
Functions, R codes and Examples using
the tdROC R package
Some associated functions: AUC.cr . AUC_calc_integral . Melano . calc.kw . mayo . pipe . plot_tdROC . plot_tdROC_cr . td.kw.cr . tdBrier . tdROC.cr . tdROC . tdSurvDiff .
Some associated R codes: AUC.cr.R . AUC_calc_integral.R . Melano.R . RcppExports.R . calc.kw.R . forRcpp.R . mayo.R . plot.tdROC.R . plot.tdROC.cr.R . td.kw.cr.R . tdBrier.R . tdROC.R . tdROC.cr.R . tdSurvDiff.R . utils-pipe.R . Full tdROC package functions and examples
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