Package index
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BPP_func() - Calculate Bayesian Predictive Probability given interim data and posterior samples
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INTEREST - INTEREST data set
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MCMC_sample - MCMC_sample
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REVEL - REVEL data set
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ZODIAC - ZODIAC data set
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add_recruitment_time() - Add recruitment time to a survival dataset
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assurance_adaptive_shiny_app() - Launch the 'shiny' adaptive assurance app
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assurance_shiny_app() - Launch the 'shiny' Assurance app
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calc_dte_assurance() - Calculate Assurance for a Trial with a Delayed Treatment Effect
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calc_dte_assurance_adaptive() - Calculates operating characteristics for a Group Sequential Trial with a Delayed Treatment Effect
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calibrate_BPP_threshold() - Function to calculate the 'optimal' BPP threshold value
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calibrate_BPP_timing() - Function to calculate the 'optimal' information fraction to calculate BPP
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calibrate_matched_futility_boundary() - Calibrate a fixed Z-statistic futility boundary
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cens_data() - Censor a survival dataset
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run_calibration_grid() - Simulate BPP values and true trial outcomes for BPP-threshold calibration
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select_lambda_star() - Select the BPP futility threshold minimising null expected sample size
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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.
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summarize_grid_by_lambda() - Summarise calibration-grid output over a grid of BPP futility thresholds
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survival_test() - Calculate statistical significance on a survival dataset
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update_priors() - Update prior distributions using interim survival data