Used in a trial with a Bayesian analysis and parameter of interest \(\theta\), where the decisions are based two posterior probabilities Pr( \(\theta\) > MAV |data ) > vMAVCutoff and Pr( \(\theta\) > TV | data ) > vTVCutoff. This function returns a list with dMAVCutoff and dTVCutoff. 0 <= dMAVCutoff and dTVCutoff <= 1. Typically, this function is not called directly but as part of the ComputePosteriorProb function.
GetBayesianCutoffs(cAnalysis, nISAAnalysisIndx, bIsFinalISAAnalysis)