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:
risksetROC_1.0.4.1.tar.gz
risksetROC_1.0.4.1.zip(r-4.5)risksetROC_1.0.4.1.zip(r-4.4)risksetROC_1.0.4.1.zip(r-4.3)
risksetROC_1.0.4.1.tgz(r-4.4-any)risksetROC_1.0.4.1.tgz(r-4.3-any)
risksetROC_1.0.4.1.tar.gz(r-4.5-noble)risksetROC_1.0.4.1.tar.gz(r-4.4-noble)
risksetROC_1.0.4.1.tgz(r-4.4-emscripten)risksetROC_1.0.4.1.tgz(r-4.3-emscripten)
risksetROC.pdf |risksetROC.html✨
risksetROC/json (API)
| # Install 'risksetROC' in R: |
| install.packages('risksetROC', repos = c('https://paramita-sc.r-universe.dev', 'https://cloud.r-project.org')) |
- pbc - Incident/Dynamic (I/D) ROC curve, AUC and integrated AUC (iAUC) estimation of censored survival data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:2852e15108. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 20 2024 |
| R-4.5-win | OK | Nov 20 2024 |
| R-4.5-linux | OK | Nov 20 2024 |
| R-4.4-win | OK | Nov 20 2024 |
| R-4.4-mac | OK | Nov 20 2024 |
| R-4.3-win | OK | Nov 20 2024 |
| R-4.3-mac | OK | Nov 20 2024 |
Exports:CoxWeightsIntegrateAUCKM.plotllCoxRegrisksetrisksetAUCrisksetROCSchoenSmoothweightedKM
