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