| add_hazard2 | Add predicted (cumulative) hazard to data set |
| add_surv_prob2 | Add survival probability estimates |
| as.data.frame.crps | Transform crps object to data.frame |
| as_ped | Transform newdata to PED format based on fitted xgb model |
| as_xgb_data | Transform data suitable for xgboost applications |
| as_xgb_newdata | Transform new data to xgb-PED format using same arguments as... |
| as_xgb_newdata.pam_xgb | Transform new data to xgb-PED format using same arguments as... |
| as_xgb_newdata.ped | Transform new data to xgb-PED format using same arguments as... |
| get_cindex | C-Index from pec package |
| get_cumu_hazard2 | Calculate cumulative hazard |
| get_cv_indices | Create a lst of train/test indices |
| get_ibs | Extract IBS in tidy format |
| get_split_indices | Split data into training and eval data for watchlist |
| get_surv_prob2 | Calculate survival probabilities |
| predictEventProb | S3 method for compatibility with package pec |
| predict.pam_xgb | Predict hazard, cumulative hazard or survival probability |
| predictSurvProb.pam_xgb | S3 method for compatibility with package pec |
| random_params | Draw random parameters from prespecified parameter space |
| rf.cv_pam | Runs xgb.train.ped on cross-validation sets |
| rf.tune_pam | Tune xgb pam |
| sim_pexp_cr | Simulate competing risks time-to-event data via piece-wise... |
| times_list | Look up Quantiles of event times in data |
| xgb.cv_pam | Runs xgb.train.ped on cross-validation sets |
| xgboost.ped | Fit xgboost model to piece-wise exponential data |
| xgb.train.ped | PAMM wrapper for xgb.train |
| xgb.tune_pam | Tune xgb pam |
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