Explained variation for survival models
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.
Formula interface for function CoxBoost of package CoxBoost.
Summarizing prediction error curves
Pbc3 data
Copenhagen Stroke Study
Estimation of censoring probabilities
German Breast Cancer Study Group 2
Concordance index for right censored survival time data
Calibration plots for right censored data
S3-Wrapper for ctree.
Plot objects obtained with calPlot
Predict survival based on rpart tree object
Predicting life years lost (cumulative cumulative incidences) in competing
risk models.
Plotting predicted survival curves.
Retrospective risk reclassification table
Plotting prediction error curves
Predicting event probabilities (cumulative incidences) in competing risk
models.
Plotting predicted survival curves.
S3-wrapper function for cforest from the party package
Prediction error curves
Printing a `pec' (prediction error curve) object.
Simulate COST alike data
threecity data
predictRestrictedMeanTime
Predicting restricted mean time
Resolve the splitMethod for estimation of prediction performance
Predicting survival probabilities
Backward variable selection in the Cox regression model