Design Clinical Trials using Sequential Predictive Probability Monitoring

Documentation for package ‘ppseq’ version 0.2.0

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'