Package: risksetROC 1.0.4.1

risksetROC: Riskset ROC Curve Estimation from Censored Survival Data

Compute time-dependent Incident/dynamic accuracy measures (ROC curve, AUC, integrated AUC )from censored survival data under proportional or non-proportional hazard assumption of Heagerty & Zheng (Biometrics, Vol 61 No 1, 2005, PP 92-105).

Authors:Patrick J. Heagerty <[email protected]>, packaging by Paramita Saha-Chaudhuri <[email protected]>

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# Install 'risksetROC' in R:
install.packages('risksetROC', repos = c('https://paramita-sc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • pbc - Incident/Dynamic (I/D) ROC curve, AUC and integrated AUC (iAUC) estimation of censored survival data

On CRAN:

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

3.61 score 3 packages 45 scripts 610 downloads 16 mentions 9 exports 4 dependencies

Last updated 2 years agofrom:2852e15108. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 21 2024
R-4.5-winOKOct 21 2024
R-4.5-linuxOKOct 21 2024
R-4.4-winOKOct 21 2024
R-4.4-macOKOct 21 2024
R-4.3-winOKOct 21 2024
R-4.3-macOKOct 21 2024

Exports:CoxWeightsIntegrateAUCKM.plotllCoxRegrisksetrisksetAUCrisksetROCSchoenSmoothweightedKM

Dependencies:latticeMASSMatrixsurvival