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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