add_ess_to_simulation_result
                        Append ESS to a simulation summary
calibrate_all_lambdas   Calibrate lambda for all borrowing methods
calibrate_lambda_grid   Single-stage lambda calibration for one
                        borrowing method
calibrate_lambda_grid_two_stage
                        Two-stage lambda calibration for one borrowing
                        method
compute_ess_from_raw    Compute effective sample size from raw
                        simulation output
compute_sandwich_se     Sandwich standard error for a penalized Cox
                        borrowing estimator
drift_set               Drift set utilities
fdb-package             fdb: Frequentist Dynamic Borrowing for
                        Hybrid-Control Survival Trials
fit_P1_precision_L1     Precision-weighted L1 penalty (P1)
fit_P2_gated_L1         Smoothed integrated-gate penalty (P2)
fit_P3_info_MCP         Information-adaptive minimax concave penalty
                        (P3)
fit_P4_LRweighted_L1    Likelihood-ratio-weighted L1 penalty (P4)
fit_all_methods         Fit all borrowing methods on a single dataset
fit_internal_only       Internal-control-only Cox analysis
fit_li_adaptive_lasso   Adaptive lasso borrowing of Li et al. (2023)
fit_naive_pooled        Naive pooled Cox analysis
fit_one_penalized_method
                        Fit a single penalized borrowing method
lambdas_default         Default tuning parameters
run_drift_curve         Evaluate operating characteristics across a set
                        of drift values
run_fdb_study           One-stop wrapper: calibrate lambda, then
                        evaluate type I and power
run_simulation          Run a Monte Carlo simulation under a fixed
                        scenario
scenario_S1             Example simulation scenario
simulate_hybrid_cox     Simulate a hybrid-control Cox proportional
                        hazards dataset
