Introduction | Simulated data | Basic usage | Split rules | Observation weights | Linear combination splits | Variable importance | Variance estimation and confidence bands | Confidence bands with get.surv.band() | Reducing the time grid for bands | Inspecting individual trees | Summary

Overview | Prerequisites | Data Preparation | Fit a classification model | Predict | Evaluate | Inspect the fitted object

Overview | Prerequisites | Data | Fit | Predict | Evaluate | Inspect