calPlot | Calibration plots for right censored data |
cindex | Concordance index for right censored survival time data |
cost | Copenhagen Stroke Study |
coxboost | Formula interface for function 'CoxBoost' of package 'CoxBoost'. |
crps | Summarizing prediction error curves |
GBSG2 | German Breast Cancer Study Group 2 |
ibs | Summarizing prediction error curves |
ipcw | Estimation of censoring probabilities |
ipcw.aalen | Estimation of censoring probabilities |
ipcw.cox | Estimation of censoring probabilities |
ipcw.marginal | Estimation of censoring probabilities |
ipcw.none | Estimation of censoring probabilities |
ipcw.nonpar | Estimation of censoring probabilities |
Pbc3 | Pbc3 data |
pec | Prediction error curves |
pecCforest | S3-wrapper function for cforest from the party package |
plot.pec | Plotting prediction error curves |
plotPredictEventProb | Plotting predicted survival curves. |
plotPredictSurvProb | Plotting predicted survival curves. |
predictEventProb | Predicting event probabilities (cumulative incidences) in competing risk models. |
predictEventProb.CauseSpecificCox | Predicting event probabilities (cumulative incidences) in competing risk models. |
predictEventProb.FGR | Predicting event probabilities (cumulative incidences) in competing risk models. |
predictEventProb.prodlim | Predicting event probabilities (cumulative incidences) in competing risk models. |
predictEventProb.rfsrc | Predicting event probabilities (cumulative incidences) in competing risk models. |
predictEventProb.riskRegression | Predicting event probabilities (cumulative incidences) in competing risk models. |
predictLifeYearsLost | Predicting life years lost (cumulative cumulative incidences) in competing risk models. |
predictLifeYearsLost.CauseSpecificCox | Predicting life years lost (cumulative cumulative incidences) in competing risk models. |
predictLifeYearsLost.FGR | Predicting life years lost (cumulative cumulative incidences) in competing risk models. |
predictLifeYearsLost.prodlim | Predicting life years lost (cumulative cumulative incidences) in competing risk models. |
predictLifeYearsLost.rfsrc | Predicting life years lost (cumulative cumulative incidences) in competing risk models. |
predictLifeYearsLost.riskRegression | Predicting life years lost (cumulative cumulative incidences) in competing risk models. |
predictSurvProb | Predicting survival probabilities |
predictSurvProb.aalen | Predicting survival probabilities |
predictSurvProb.cox.aalen | Predicting survival probabilities |
predictSurvProb.coxph | Predicting survival probabilities |
predictSurvProb.cph | Predicting survival probabilities |
predictSurvProb.default | Predicting survival probabilities |
predictSurvProb.matrix | Predicting survival probabilities |
predictSurvProb.mfp | Predicting survival probabilities |
predictSurvProb.pecCforest | Predicting survival probabilities |
predictSurvProb.phnnet | Predicting survival probabilities |
predictSurvProb.prodlim | Predicting survival probabilities |
predictSurvProb.psm | Predicting survival probabilities |
predictSurvProb.rfsrc | Predicting survival probabilities |
predictSurvProb.riskRegression | Predicting survival probabilities |
predictSurvProb.rpart | Predicting survival probabilities |
predictSurvProb.selectCox | Predicting survival probabilities |
predictSurvProb.survfit | Predicting survival probabilities |
predictSurvProb.survnnet | Predicting survival probabilities |
print.pec | Printing a 'pec' (prediction error curve) object. |
R2 | Explained variation for survival models |
resolvesplitMethod | Resolve the splitMethod for estimation of prediction performance |
selectCox | Backward variable selection in the Cox regression model |
selectFGR | Stepwise variable selection in the Fine & Gray regression competing risk model |
simCost | Simulate COST alike data |
Special | Drawing bootstrapped cross-validation curves and the .632 or .632plus error of models. The prediction error for an optional benchmark model can be added together with bootstrapped cross-validation error and apparent errors. |
summary.pec | Printing a 'pec' (prediction error curve) object. |