ComputePosteriorProbs.MAVTarget: ComputePosteriorProbs.MAVTarget

In kwathen/OCTOPUS: OCTOPUS

ComputePosteriorProbs.MAVTarget

Description

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

Usage

## S3 method for class 'MAVTarget'
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. 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.

Value

List with three values dPrGrtMAV, dMAVCutoff and dTVCutoff

See Also

View Code on GitHub

kwathen/OCTOPUS documentation built on Oct. 24, 2024, 12:36 p.m.