pec

German Breast Cancer Study Group 2

Pbc3 data

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.

Calibration plots for right censored data

Concordance index for right censored survival time data

Copenhagen Stroke Study

Formula interface for function CoxBoost of package CoxBoost.

Summarizing prediction error curves

Estimation of censoring probabilities

Prediction error curves

S3-wrapper function for cforest from the party package

S3-Wrapper for ctree.

Predict survival based on rpart tree object

Plot objects obtained with calPlot

Plotting prediction error curves

Plotting predicted survival curves.

Plotting predicted survival curves.

Predicting event probabilities (cumulative incidences) in competing risk models.

Predicting life years lost (cumulative cumulative incidences) in competing risk models.

Predicting restricted mean time

Predicting survival probabilities

Printing a ‘pec’ (prediction error curve) object.

Retrospective risk reclassification table

Resolve the splitMethod for estimation of prediction performance

Backward variable selection in the Cox regression model

Stepwise variable selection in the Fine & Gray regression competing risk model

Simulate COST alike data

threecity data