StOldCode: Performs DBM or OR significance testing for factorial dataset...

In dpc10ster/rjafroc: Artificial Intelligence Systems and Observer Performance

Performs DBM or OR significance testing for factorial dataset Old Code

Description

(DBM) or Obuchowski-Rockette (OR) significance testing, for specified dataset.

Usage

StOldCode(
  dataset,
  FOM,
  FPFValue = 0.2,
  alpha = 0.05,
  method = "DBM",
  covEstMethod = "jackknife",
  nBoots = 200,
  analysisOption = "ALL"
)

Arguments

dataset	The dataset to be analyzed.
FOM	The figure of merit
FPFValue	Only needed for LROC data.
alpha	The significance level of the test; the default is 0.05
method	The testing method to be used: "DBM" (the default), representing the Dorfman-Berbaum-Metz method or "OR", representing the Obuchowski-Rockette method.
covEstMethod	The covariance matrix estimation method
nBoots	The number of bootstraps (defaults to 200)
analysisOption	Determines which factors are regarded as random vs. fixed:

dpc10ster/rjafroc documentation built on July 4, 2025, 6:30 p.m.