R: Bayesian Two-Stage Design with Window-Cohort and Controlled Roll-on for Time-to-Event Estimand

# Bayesian Two-Stage Design with Window-Cohort and Controlled Roll-on for Time-to-Event Estimand

## Documentation for package ‘WCRBayesDesign’ version 1.0.1

- DESCRIPTION file.

## Help Pages

conduct | Bayesian Interim and Final Analysis (Unified Transformed Time Framework)
delta_from_theta_goal | Convert target EFS goal to delta parameter under proportional hazards model
find_Nw_pIA | Search for feasible interim analysis thresholds (Unified Framework)
oc_two_stage | Evaluate operating characteristics for two-stage adaptive survival designs (Unified Framework)
run_two_stage_trial | Run Two-Stage Bayesian Single-Arm Survival Trial Simulation
S0_inverse | Inverse of baseline survival function S_0
S0_weibull | Weibull reference survival function
stats_transformed | Compute transformed statistics for survival data
two_stage_optimize_design | Optimize two-stage adaptive survival design