Package index • ppseq

Calibrate thresholds

calibrate_thresholds(): Calibrate according to posterior probability threshold and predictive probability threshold with interim futility monitoring

calibrate_posterior_threshold(): Calibrate the posterior probability threshold

Identify the optimal design

optimize_design(): Function to setup usage of optimize_design.calibrate_thresholds

optimize_design(<calibrate_thresholds>): Custom optimization method for calibrate_thresholds objects

Calculate decision rules

calc_decision_rules(): Calculate a decision rule table for interim monitoring of a pre-specified design

Plotting and printing

plot(<calibrate_thresholds>): Plot method for calibrate_thresholds objects

print(<calibrate_thresholds>): Print method for calibrate_thresholds objects

plot(<calc_decision_rules>): Plot method for calc_decision_rules objects

Data files

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

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

Support functions

calc_posterior(): Calculate a single posterior probability

calc_predictive(): Calculate a single posterior predictive probability

calc_next(): Calculate response probability for the next patient

eval_thresh(): Evaluate a single dataset for a single pp_threshold and ppp_threshold combination

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