UtilORVarComp: Obuchowski-Rockette variance components for dataset

In dpc10ster/rjafroc: Artificial Intelligence Systems and Observer Performance

Obuchowski-Rockette variance components for dataset

Description

Obuchowski-Rockette variance components for dataset

Usage

UtilORVarComp(
  dataset,
  FOM,
  covEstMethod = "jackknife",
  FPFValue = 0.2,
  nBoots = 200,
  seed = NULL
)

Arguments

dataset	Factorial one-treatment or cross-modality two-treatment dataset
FOM	Figure of merit
covEstMethod	The covariance estimation method, "jackknife" (the default) or "bootstrap" or "DeLong" ("DeLong" is applicable only for FOM = "Wilcoxon").
FPFValue	Only needed for LROC data and FOM = "PCL" or "ALROC": the FPFValue at which to evaluate a partial curve based figure of merit. The default is 0.2.
nBoots	The number of bootstraps (default 200).Only needed for covEstMethod = "bootstrap".
seed	Only needed for the bootstrap covariance estimation method. The initial seed for the random number generator, the default is NULL, for random seed.

Details

The variance components are identical to those obtained using St with method = "OR".

Value

A list containing the following data.frames:

• foms: the figures of merit for different modality-reader combinations

• TRanova: the OR modality-reader ANOVA table

• VarCom: the OR variance-components Cov1, Cov2, Cov3, Var and correlations rho1, rho2 and rho3

• IndividualTrt: the individual modality mean-squares, Var and Cov2 values

• IndividualRdr: the individual reader mean-squares, Var and Cov1 values

Examples

## use the default jackknife for covEstMethod
vc <- UtilORVarComp(dataset02, FOM = "Wilcoxon")

##UtilORVarComp(dataset02, FOM = "Wilcoxon", covEstMethod = "bootstrap", 
##nBoots = 2000, seed = 100)$VarCom 

##UtilORVarComp(dataset02, FOM = "Wilcoxon", covEstMethod = "DeLong")$VarCom

vc <- UtilORVarComp(datasetX, FOM = "wAFROC") 
  

dpc10ster/rjafroc documentation built on Jan. 18, 2024, 4:37 a.m.