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
# S3 method for default ComputePosteriorProbs( cAnalysis, nISAAnalysisIndx, bIsFinalISAAnalysis, lSamples )
| nISAAnalysisIndx | A the index of the analysis |
|---|---|
| bIsFinalISAAnalysis | TRUE or FALSE to indicate if this is the final analysis. Typically, used in a Bayesian design such that the final analysis can have different cutoff values. |
| lSamples | List with two vectors, vPostSampPlac and vPostSampTrt, that are samples of the posterior of \(\theta\) for the placebo and treatment, respectively. |
| cAnalysis$vMAVCutoff | A vector of cutoffs for the MAV at each analysis. |
| cAnalysis$vTVCutoff | A vector of cutoffs for the TV. |
List with two valued dMAVCutoff and dTVCutoff
List with four values dPrGrtMAV, dPrGrtTV, dMAVCutoff and dTVCutoff