prodlim: Product-Limit Estimation for Censored Event History Analysis

Fast and user friendly implementation of nonparametric estimators for censored event history (survival) analysis. Kaplan-Meier and Aalen-Johansen method.

Version: 2023.08.28
Depends: R (≥ 2.9.0)
Imports: Rcpp (≥ 0.11.5), stats, data.table, grDevices, graphics, diagram, survival, KernSmooth, lava
LinkingTo: Rcpp
Published: 2023-08-28
Author: Thomas A. Gerds
Maintainer: Thomas A. Gerds <tag at biostat.ku.dk>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
In views: Survival
CRAN checks: prodlim results

Documentation:

Reference manual: prodlim.pdf

Downloads:

Package source: prodlim_2023.08.28.tar.gz
Windows binaries: r-devel: prodlim_2023.08.28.zip, r-release: prodlim_2023.08.28.zip, r-oldrel: prodlim_2023.08.28.zip
macOS binaries: r-release (arm64): prodlim_2023.08.28.tgz, r-oldrel (arm64): prodlim_2023.08.28.tgz, r-release (x86_64): prodlim_2023.08.28.tgz
Old sources: prodlim archive

Reverse dependencies:

Reverse depends: pec, Publish, survcomp, wally
Reverse imports: BinaryDosage, bnnSurvival, BuyseTest, censored, CSCNet, Doscheda, DynForest, EventPointer, FSinR, ggESDA, GoodFibes, GxEScanR, ipred, Landmarking, LTRCforests, multimark, obliqueRSF, OSTE, pcoxtime, recurrentpseudo, riskRegression, sbm, snfa, SuperRanker
Reverse suggests: adjustedCurves, Ecfun, eventglm, mets, mlt.docreg, momentuHMM, parsnip, randomForestSRC, simIDM

Linking:

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