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' |