INTEREST                INTEREST data set
MCMC_sample             MCMC_sample
PP_func                 Calculate the predictive probability (PP) given
                        interim data and posterior samples
REVEL                   REVEL data set
ZODIAC                  ZODIAC data set
add_recruitment_time    Add recruitment time to a survival dataset
apply_GSD_to_trial      Apply a group-sequential design to one
                        simulated trial
apply_design_rule       Apply a design rule to paired replicate output
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_PP_threshold
                        Function to calculate the 'optimal' PP
                        threshold value
calibrate_PP_timing     Function to calculate the 'optimal' information
                        fraction to calculate PP
calibrate_matched_futility_boundary
                        Calibrate a fixed Z-statistic futility boundary
cens_data               Censor a survival dataset
compute_relative_floors
                        Relative power floors for kappa selection
make_gsd_design         Build the group-sequential design for a
                        GSD_model
run_calibration_grid    Simulate PP values and true trial outcomes for
                        PP-threshold calibration
run_paired_scenario     Run paired replicates for one scenario, with
                        checkpointing
select_kappa_star       Select the PP futility threshold minimising
                        null expected sample size
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.
single_paired_rep       Simulate one paired replicate for post hoc
                        design evaluation
summarize_grid_by_kappa
                        Summarise calibration output over a grid of PP
                        futility thresholds
survival_test           Calculate statistical significance on a
                        survival dataset
update_priors           Update prior distributions using interim
                        survival data
