Other packages > Find by keyword >

riskRegression  

Risk Regression Models and Prediction Scores for Survival Analysis with Competing Risks
View on CRAN: Click here


Download and install riskRegression package within the R console
Install from CRAN:
install.packages("riskRegression")

Install from Github:
library("remotes")
install_github("cran/riskRegression")

Install by package version:
library("remotes")
install_version("riskRegression", "2025.09.17")



Attach the package and use:
library("riskRegression")
Maintained by
Thomas Alexander Gerds
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-12-22
Latest Update: 2025-05-20
Description:
Implementation of the following methods for event history analysis. Risk regression models for survival endpoints also in the presence of competing risks are fitted using binomial regression based on a time sequence of binary event status variables. A formula interface for the Fine-Gray regression model and an interface for the combination of cause-specific Cox regression models. A toolbox for assessing and comparing performance of risk predictions (risk markers and risk prediction models). Prediction performance is measured by the Brier score and the area under the ROC curve for binary possibly time-dependent outcome. Inverse probability of censoring weighting and pseudo values are used to deal with right censored data. Lists of risk markers and lists of risk models are assessed simultaneously. Cross-validation repeatedly splits the data, trains the risk prediction models on one part of each split and then summarizes and compares the performance across splits.
How to cite:
Thomas Alexander Gerds (2011). riskRegression: Risk Regression Models and Prediction Scores for Survival Analysis with Competing Risks. R package version 2025.09.17, https://cran.r-project.org/web/packages/riskRegression. Accessed 05 Mar. 2026.
Previous versions and publish date:
0.0.5 (2011-12-22 20:10), 0.0.7 (2013-01-08 10:28), 0.0.8 (2013-01-08 16:28), 1.0.9 (2014-12-05 12:55), 1.1.1 (2014-12-10 21:27), 1.1.7 (2015-10-05 12:58), 1.3.3 (2017-03-07 14:46), 1.3.5 (2017-03-10 00:17), 1.3.7 (2017-03-10 23:50), 1.4.3 (2017-06-30 19:35), 2018.04.21 (2018-04-19 12:14), 2018.10.03 (2018-10-04 21:30), 2019.01.29 (2019-01-29 18:30), 2019.11.03 (2019-11-04 18:20), 2020.02.05 (2020-02-08 17:30), 2020.12.08 (2020-12-09 09:30), 2021.10.10 (2021-10-11 12:30), 2022.03.09 (2022-03-10 12:20), 2022.03.22 (2022-03-23 11:10), 2022.09.13 (2022-09-17 23:46), 2022.09.23 (2022-09-26 09:30), 2022.11.21 (2022-11-22 17:40), 2022.11.28 (2022-11-30 09:50), 2023.03.22 (2023-03-20 20:40), 2023.09.08 (2023-09-07 11:20), 2023.12.21 (2023-12-19 18:00), 2025.05.15 (2025-05-15 15:50), 2025.05.20 (2025-05-20 11:20), 2025.09.17 (2025-09-17 13:50)
Other packages that cited riskRegression R package
View riskRegression citation profile
Other R packages that riskRegression depends, imports, suggests or enhances
Complete documentation for riskRegression
Functions, R codes and Examples using the riskRegression R package
Some associated functions: CSC . Cforest . Ctree . FGR . GLMnet . Hal9001 . IPA . Melanoma . Paquid . Score . SmcFcs . SuperPredictor . SurvResponseVar . anova.ate . as.data.table.ate . as.data.table.influenceTest . as.data.table.predictCSC . as.data.table.predictCox . ate . autoplot.Score . autoplot.ate . autoplot.predictCSC . autoplot.predictCox . baseHaz_cpp . boot2pvalue . boxplot.Score . calcSeCSC . calcSeCox . coef.CauseSpecificCox . coef.riskRegression . colCenter_cpp . colCumSum . colMultiply_cpp . colScale_cpp . confint.ate . confint.influenceTest . confint.predictCSC . confint.predictCox . coxBaseEstimator . coxCenter . coxFormula . coxLP . coxModelFrame . coxN . coxSpecial . coxStrata . coxStrataLevel . coxVarCov . coxVariableName . dicreteRoot . getSplitMethod . iid.wglm . iidCox . influenceTest . information.wglm . ipcw . model.matrix.cph . model.matrix.phreg . penalizedS3 . plot.riskRegression . plotAUC . plotBrier . plotCalibration . plotEffects . plotPredictRisk . plotROC . plotRisk . predict.CauseSpecificCox . predict.FGR . predict.riskRegression . predictCox . predictCoxPL . predictRisk . print.CauseSpecificCox . print.FGR . print.IPA . print.Score . print.ate . print.influenceTest . print.predictCSC . print.predictCox . print.riskRegression . print.subjectWeights . reconstructData . riskLevelPlot . riskRegression-package . riskRegression . riskRegression.options . rowCenter_cpp . rowCumSum . rowMultiply_cpp . rowPaste . rowScale_cpp . rowSumsCrossprod . sampleData . saveCoxConfidential . score.wglm . selectCox . selectJump . simActiveSurveillance . simMelanoma . simPBC . simsynth . splitStrataVar . subjectWeights . subsetIndex . summary.FGR . summary.Score . summary.ate . summary.riskRegression . synthesize . terms.phreg . transformCIBP . wglm . 
Some associated R codes: 0onload.R . ARR.R . AUC.binary.R . AUC.competing.risks.R . AUC.survival.R . Brier.binary.R . Brier.competing.risks.R . Brier.survival.R . CSC.R . FGR.R . GLMnet.R . HAL9001.R . IPA.R . LRR.R . RcppExports.R . Score.R . SuperPredictor.R . Utils.R . anova.ate.R . as.data.table.ate.R . as.data.table.influenceTest.R . as.data.table.predictCSC.R . as.data.table.predictCox.R . ate-bootstrap.R . ate-iid.R . ate-pointEstimate.R . ate.R . autoplot.Score.R . autoplot.ate.R . autoplot.predictCSC.R . autoplot.predictCox.R . boxplot.Score.R . calcCensoringWeightsCox.R . calcSeCSC.R . calcSeCox.R . coef.CauseSpecificCox.R . coef.riskRegression.R . computePerformance.R . confint.ate.R . confint.influenceTest.R . confint.predictCSC.R . confint.predictCox.R . crossvalPerf.R . discreteRoot.R . getCensoringWeights.R . getComparisons.R . getCoxInfo.R . getInfluenceCurve.R . getLegendData.R . getNullModel.R . getPerformanceData.R . getResponse.R . getSplitMethod.R . getVcov.R . iidCox.R . influenceTest.R . ipcw.R . nobs.R . plot.riskRegression.R . plotAUC.R . plotBrier.R . plotCalibration.R . plotEffects.R . plotPredictRisk.R . plotROC.R . plotRisk.R . predict.CauseSpecificCox.R . predict.FGR.R . predict.riskRegression.R . predictCox.R . predictCoxPL.R . predictRisk.R . predictRisk.party.R . print.CauseSpecificCox.R . print.FGR.R . print.IPA.R . print.Score.R . print.ate.R . print.influenceTest.R . print.predictCSC.R . print.predictCox.R . print.riskRegression.R . print.subjectWeights.R . riskLevelPlot.R . riskQuantile.R . riskRegression-package.R . riskRegression.R . sampleData.R . saveCoxConfidential.R . selectCox.R . sim.synth.R . simActiveSurveillance.R . simMelanoma.R . simPBC.R . subjectWeights.R . summary.FGR.R . summary.Score.R . summary.ate.R . summary.riskRegression.R . synthesize.R . transform.R . wglm.R .  Full riskRegression package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

neat  
Efficient Network Enrichment Analysis Test
Includes functions and examples to compute NEAT, the Network Enrichment Analysis Test described in ...
Download / Learn more Package Citations See dependency  
roccv  
ROC for Cross Validation Results
Cross validate large genetic data while specifying clinical variables that should always be in the m ...
Download / Learn more Package Citations See dependency  
imagefx  
Extract Features from Images
Synthesize images into characteristic features for time-series analysis or machine learning applicat ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
pinp  
'pinp' is not 'PNAS'
A 'PNAS'-alike style for 'rmarkdown', derived from the 'Proceedings of the National Academy of Scie ...
Download / Learn more Package Citations See dependency  
diffIRT  
Diffusion IRT Models for Response and Response Time Data
Package to fit diffusion-based IRT models to response and response time data. Models are fit using ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA