GetBayesianCutoffs.default: GetBayesianCutoffs.default

In kwathen/OCTOPUS: OCTOPUS

GetBayesianCutoffs.default

Description

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. Typically, this function is not called directly but as part of the ComputePosteriorProb function.

Usage

## Default S3 method:
GetBayesianCutoffs(cAnalysis, nISAAnalysisIndx, bIsFinalISAAnalysis)

Arguments

nISAAnalysisIndx	An integer with 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.
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 values dMAVCutoff and dTVCutoff.

See Also

View Code on GitHub

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