ComputePosteriorProbs.default

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
)

Arguments

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.

Value

List with two valued dMAVCutoff and dTVCutoff

List with four values dPrGrtMAV, dPrGrtTV, dMAVCutoff and dTVCutoff

Arguments

Value

See also