R/ComputePosteriorProbs.R
ComputePosteriorProbs.MAVTarget.Rd
Used in a trial with a Bayesian analysis and parameter of interest \(\theta\), where the decisions are based one posterior probabilities Pr( \(\theta_T\) > MAV |data ). This function returns a list with dPrGrtMAV, dMAVCutoff and dTVCutoff. 0 <= dMAVCutoff and dTVCutoff <= 1
# S3 method for MAVTarget ComputePosteriorProbs( cAnalysis, nISAAnalysisIndx, bIsFinalISAAnalysis, lSamples )
nISAAnalysisIndx | A the index of the analysis |
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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. dTVCutoff |
lSamples | List with vPostSamp that are samples of the posterior of \(\theta\) the parameter of interest. |
cAnalysis$vMAVCutoff | A vector of cutoffs for the MAV at each analysis. |
cAnalysis$vTVCutoff | A vector of cutoffs for the TV. |
List with three values dPrGrtMAV, dMAVCutoff and dTVCutoff