Package: timeROC 0.4
timeROC: Time-Dependent ROC Curve and AUC for Censored Survival Data
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.
Authors:
timeROC_0.4.tar.gz
timeROC_0.4.zip(r-4.5)timeROC_0.4.zip(r-4.4)timeROC_0.4.zip(r-4.3)
timeROC_0.4.tgz(r-4.5-any)timeROC_0.4.tgz(r-4.4-any)timeROC_0.4.tgz(r-4.3-any)
timeROC_0.4.tar.gz(r-4.5-noble)timeROC_0.4.tar.gz(r-4.4-noble)
timeROC_0.4.tgz(r-4.4-emscripten)timeROC_0.4.tgz(r-4.3-emscripten)
timeROC.pdf |timeROC.html✨
timeROC/json (API)
NEWS
| # Install 'timeROC' in R: |
| install.packages('timeROC', repos = c('https://paulowhite.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:c2c807f93b. Checks:1 OK, 6 NOTE, 2 ERROR. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 19 2025 |
| R-4.5-win | NOTE | Mar 19 2025 |
| R-4.5-mac | NOTE | Mar 19 2025 |
| R-4.5-linux | NOTE | Mar 19 2025 |
| R-4.4-win | NOTE | Mar 19 2025 |
| R-4.4-mac | NOTE | Mar 19 2025 |
| R-4.4-linux | NOTE | Mar 19 2025 |
| R-4.3-win | ERROR | Mar 19 2025 |
| R-4.3-mac | ERROR | Mar 19 2025 |
Exports:compareplotAUCcurveplotAUCcurveDiffSeSpPPVNPVtimeROC
Dependencies:backportsbase64encbslibcachemcheckmatecliclustercmprskcodetoolscolorspacedata.tablediagramdigestdoParallelevaluatefansifarverfastmapfontawesomeforeachforeignFormulafsfuturefuture.applyggplot2globalsgluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglatticelavalifecyclelistenvmagrittrMASSMatrixMatrixModelsmemoisemetsmgcvmimemultcompmunsellmvtnormnlmennetnumDerivparallellypecpillarpkgconfigplotrixpolsplineprodlimprogressrPublishquantregR6rangerrappdirsRColorBrewerRcppRcppArmadilloRcppEigenriskRegressionrlangrmarkdownrmsrpartrstudioapisandwichsassscalesshapeSparseMSQUAREMstringistringrsurvivalTH.datatibbletimeregtinytexutf8vctrsviridisviridisLitewithrxfunyamlzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Compute tests for comparing two time-dependent AUC | compare |
| Confidence intervals for areas under time-dependent ROC curves | confint.ipcwcompetingrisksROC confint.ipcwsurvivalROC |
| Malignant melanoma data | Melano |
| Paquid cohort data | Paquid |
| Plot function for time-dependent ROC curve | plot.ipcwcompetingrisksROC plot.ipcwsurvivalROC |
| Plot time-dependent AUC curve | plotAUCcurve |
| Plot the curve of the difference of two time-dependent AUCs over time | plotAUCcurveDiff |
| Print objects in the timeROC library | print.ipcwcompetingrisksROC print.ipcwcompetingrisksSeSpPPVNPV print.ipcwsurvivalROC print.ipcwsurvivalSeSpPPVNPV |
| Time-dependent Sensitivity (Se), Specificity (Sp), Positive Predictive Value (PPV) and Negative Predictive Value (NPV) estimation | SeSpPPVNPV |
| Time-dependent ROC curve estimation | timeROC |
