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timeROC
View on CRAN: Click
here
Download and install timeROC package within the R console
Install from CRAN:
install.packages("timeROC")
Install from Github:
library("remotes")
install_github("cran/timeROC") Install by package version:
library("remotes")
install_version("timeROC", "0.4") Attach the package and use:
library("timeROC")
Maintained by
Paul Blanche
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-11-03
Latest Update: 2019-12-18
Description:
Estimation of time-dependent ROC curve and area under time dependent ROC curve (AUC) in the presence of censored data, with or without competing risks. Confidence intervals of AUCs and tests for comparing AUCs of two rival markers measured on the same subjects can be computed, using the iid-representation of the AUC estimator. Plot functions for time-dependent ROC curves and AUC curves are provided. Time-dependent Positive Predictive Values (PPV) and Negative Predictive Values (NPV) can also be computed. See Blanche et al. (2013) <doi:10.1002/sim.5958> and references therein for the details of the methods implemented in the package.
How to cite:
Paul Blanche (2012). timeROC: Time-Dependent ROC Curve and AUC for Censored Survival Data. R package version 0.4, https://cran.r-project.org/web/packages/timeROC. Accessed 09 Mar. 2026.
Previous versions and publish date:
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Other R packages that timeROC depends,
imports, suggests or enhances
Complete documentation for timeROC
Functions, R codes and Examples using
the timeROC R package
Some associated functions: Melano . Paquid . SeSpPPVNPV . compare . confint . plot . plotAUCcurve . plotAUCcurveDiff . print . timeROC .
Some associated R codes: ComputeIIDKM.R . SeSpPPVNPV.R . compare_ipcwROC.R . compute_iid_ac_competing_risks.R . compute_iid_rep_2.R . compute_iid_ss_competing_risks_2.R . confint_ipcwROC.R . plot.ipcwcompetingrisksROC.R . plot.ipcwsurvivalROC.R . plotAUCcurve.R . plotAUCcurveDiff.R . print.ipcwcompetingrisksROC.R . print.ipcwcompetingrisksSeSpPPVNPV.R . print.ipcwsurvivalROC.R . print.ipcwsurvivalSeSpPPVNPV.R . timeROC_3.R . Full timeROC package functions and examples
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