ComputePosteriorProbs.default

Source: R/ComputePosteriorProbs.R

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

# Default S3 method
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