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Functions available in SurvBoost package. Every function accepts a boosting object input to generate the corresponding result.
| Function | Result |
|---|---|
| summary.boosting() | prints summary of variable selection and estimation |
| plot.boosting() | plots variable selection frequency |
| predict.boosting() | generates predicted hazard ratio for each observation or new data |
| post.selection.fitting.boosting() | refits model with only subset of selected covariates |
