Internal workhorse function to calculate the calibration constant value that attains level alpha for given method
findconst.bin(ns, p0, alpha, type, l, u, iter = 50, param)The calibration constant used for subsequent stopping boundary calculation
A vector of sample sizes at which sequential testing is performed
The toxicity probability under the null hypothesis
The desired type I error / false positive rate for the stopping rule
The method used for constructing the stopping rule
Lower starting value of bracket for calibration constant
Upper starting value of bracket for calibration constant
The number of iterations used to search for the boundary
A vector of the extra parameter(s) needed for certain stopping rule methods. For binomial Wang-Tsiatis tests, this is the Delta parameter. For the Geller et al. method, this is the vector of hyperparameters (a,b) for the beta prior on the toxicity probability. For Chen and Chaloner's method, this is the vector (a,b,p1,nu), containing the hyperparameters (a,b) for the beta prior on the toxicity probability, the targeted alternative toxicity probability p1, and the threshold nu for the posterior probability that the true toxicity probability p > p1. For truncated SPRT, this is the targeted alternative toxicity probability p1.