calc_decision_rules     Calculate a decision rule table for interim
                        monitoring of a pre-specified design
calc_next               Calculate response probability for the next
                        patient
calc_posterior          Calculate a single posterior probability
calc_predictive         Calculate a single posterior predictive
                        probability
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
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
two_sample_cal_tbl      Output from a two-sample call to
                        'calibrate_thresholds'
two_sample_decision_tbl
                        Output from a two-sample call to
                        'calc_decision_rules'
