Prediction Error Curves for Risk Prediction Models in Survival Analysis [R package pec version 2025.06.24]

Thomas A. Gerds

pec: Prediction Error Curves for Risk Prediction Models in Survival Analysis

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: 2025年06月24日

Depends: R (≥ 2.9.0), prodlim (≥ 1.4.9)

Imports: foreach (≥ 1.4.2), rms (≥ 4.2-0), survival (≥ 2.37-7), riskRegression (≥ 2020年02月05日), lava (≥ 1.4.1), timereg (≥ 1.8.9)

Suggests: party, cmprsk (≥ 2.2-7), rpart, Hmisc (≥ 3.14-4)

Enhances: randomForestSRC

Published: 2025年07月24日

DOI: 10.32614/CRAN.package.pec

Author: Thomas A. Gerds [aut, cre]

Maintainer: Thomas A. Gerds <tag at biostat.ku.dk>

License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]

NeedsCompilation: yes

Citation: pec citation info

Materials: README

In views: Survival

CRAN checks: pec results

Documentation:

Reference manual: pec.html , pec.pdf

Downloads:

Package source: pec_2025年06月24日.tar.gz

Windows binaries: r-devel: pec_2025年06月24日.zip, r-release: pec_2025年06月24日.zip, r-oldrel: pec_2025年06月24日.zip

macOS binaries: r-release (arm64): pec_2025年06月24日.tgz, r-oldrel (arm64): pec_2025年06月24日.tgz, r-release (x86_64): pec_2025年06月24日.tgz, r-oldrel (x86_64): pec_2025年06月24日.tgz

Old sources: pec archive

Reverse dependencies:

Reverse imports: bnnSurvival, DynForest, HQM, Landmarking, obliqueRSF, pammtools, survex, SurvMA, SurvMetrics, timeROC

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

Linking:

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