BPP_func                Calculate Bayesian Predictive Probability given
                        interim data and posterior samples
INTEREST                INTEREST data set
MCMC_sample             MCMC_sample
REVEL                   REVEL data set
ZODIAC                  ZODIAC data set
add_recruitment_time    Add recruitment time to a survival dataset
assurance_adaptive_shiny_app
                        Launch the 'shiny' adaptive assurance app
assurance_shiny_app     Launch the 'shiny' Assurance app
calc_dte_assurance      Calculate Assurance for a Trial with a Delayed
                        Treatment Effect
calc_dte_assurance_adaptive
                        Calculates operating characteristics for a
                        Group Sequential Trial with a Delayed Treatment
                        Effect
calibrate_BPP_threshold
                        Function to calculate the 'optimal' BPP
                        threshold value
calibrate_BPP_timing    Function to calculate the 'optimal' information
                        fraction to calculate BPP
cens_data               Censor a survival dataset
sim_dte                 Simulates survival times for a delayed
                        treatment effect (DTE) scenario, where the
                        treatment group experiences a delayed onset of
                        benefit. Control and treatment groups are
                        generated under exponential or Weibull
                        distributions.
survival_test           Calculate statistical significance on a
                        survival dataset
update_priors           Update prior distributions using interim
                        survival data
