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riskRegression
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", "2023.12.21")
Attach the package and use:
library("riskRegression")
Maintained by
Thomas Alexander Gerds
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.riskRegression . https://github.com/tagteam/riskRegression/issues . https://github.com/tagteam/riskRegression . riskRegression citation info . riskRegression results . riskRegression.pdf . riskRegression_2023.12.21.tar.gz . riskRegression_2023.12.21.zip . riskRegression_2023.12.21.zip . riskRegression_2023.12.21.zip . riskRegression_2023.12.21.tgz . riskRegression_2023.12.21.tgz . riskRegression_2023.12.21.tgz . riskRegression_2023.12.21.tgz . riskRegression_2023.12.21.tgz . riskRegression_2023.12.21.tgz . riskRegression archive . https://CRAN.R-project.org/package=riskRegression .
First Published: 2011-12-22
Latest Update: 2023-12-19
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 2023.12.21, https://cran.r-project.org/web/packages/riskRegression. Accessed 04 Apr. 2025.
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)
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
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