Man pages for sachsmc/pseupersims
Simulation Study for Predicting Pseudo-observations in Survival Analysis with Superlearner
| add_pseudo_obs | Add pseudo observations to a data frame |
| analyze_sim | Analyze simulation results |
| calc_roc | Compute the time-varying cause-specific ROC curve using... |
| generate_data | Generate survival data for analysis |
| method.pseudoAUC | Pseudo AUC SuperLearner method |
| optimize_auc | Optimize the time varying AUC |
| pseudoci.weighted | Pseudo observations for the weighted cumulative incidence... |
| run_one_perturb | Run one replicate of the experiment |
| run_one_replicate | Run one replicate of the experiment |
| shift_pred | Perturbation algorithm to get local slopes |
| stupidlearner_estimate | For testing purposes |
| superlearner_binaryestimate | Run the superlearner model with binary indicator as the... |
| superlearner_estimate | Run the superlearner model with pseudo observations as the... |
