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
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
Reverse suggests: adjustedCurves, censored, discSurv, lnmixsurv, mlr, multipleOutcomes, randomForestSRC, riskRegression

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