All functions

calc_decision_rules()

Calculate a decision rule table for interim monitoring of a pre-specified design

calc_posterior()

Calculate a single posterior probability

calc_predictive()

Calculate a single posterior predictive value

calibrate_posterior_threshold()

Calibrate the posterior probability threshold

calibrate_thresholds()

Calibrate according to posterior probability threshold and predictive probability threshold with interim futility monitoring

eval_thresh()

Evaluate a single dataset for a single pp_threshold and ppp_threshold combination

one_sample_cal_tbl

Output from a one-sample call to calibrate_thresholds

one_sample_decision_tbl

Output from a one-sample call to calc_decision_rules

optimize_design(<calibrate_thresholds>)

Custom optimization method for calibrate_thresholds objects

optimize_design()

Function to setup usage of optimize_design.calibrate_thresholds

plot(<calc_decision_rules>)

Plot method for calc_decision_rules objects

plot(<calibrate_thresholds>)

Plot method for calibrate_thresholds objects

print(<calibrate_thresholds>)

Print method for calibrate_thresholds objects

sim_dat1()

Simulate a single dataset based on the response probability(ies), the total sample size(s), and the interim look schedule(s)

sim_single_trial()

Simulate a single trial with posterior probability monitoring