pec: Prediction Error Curves for Risk Prediction Models in Survival Analysis (original) (raw)
Validation of risk predictions obtained from survival models and competing risk models based on censored data using inverse weighting and cross-validation. Most of the 'pec' functionality has been moved to 'riskRegression'.
Version: | 2023.04.12 |
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Depends: | R (≥ 2.9.0), prodlim (≥ 1.4.9) |
Imports: | foreach (≥ 1.4.2), rms (≥ 4.2-0), survival (≥ 2.37-7), riskRegression (≥ 2020.02.05), lava (≥ 1.4.1), timereg (≥ 1.8.9) |
Suggests: | party, cmprsk (≥ 2.2-7), rpart, Hmisc (≥ 3.14-4) |
Enhances: | randomForestSRC |
Published: | 2023-04-11 |
DOI: | 10.32614/CRAN.package.pec |
Author: | Thomas A. Gerds |
Maintainer: | Thomas A. Gerds |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | yes |
Citation: | pec citation info |
Materials: | |
In views: | Survival |
CRAN checks: | pec results |
Documentation:
Downloads:
Reverse dependencies:
Reverse imports: | bnnSurvival, DynForest, Landmarking, obliqueRSF, OSTE, pammtools, survex, SurvMA, SurvMetrics, timeROC |
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Reverse suggests: | adjustedCurves, censored, discSurv, lnmixsurv, mlr, multipleOutcomes, randomForestSRC, riskRegression |
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