Modeling, Analysis, Validation and Visualization of Observer Performance Studies in Diagnostic Radiology


[Up] [Top]

Documentation for package ‘RJafroc’ version 1.0.1

Help Pages

RJafroc-package Modeling, Analysis, Validation and Visualization of Observer Performance Studies in Diagnostic Radiology
dataset01 dataset01
dataset02 dataset02
dataset03 dataset03
dataset04 dataset04
dataset05 dataset05
dataset06 dataset06
dataset07 dataset07
dataset08 dataset08
dataset09 dataset09
dataset10 dataset10
dataset11 dataset11
dataset12 dataset12
dataset13 dataset13
dataset14 dataset14
datasetCadLroc datasetCadLroc
datasetCrossedModality datasetCrossedModality
datasetDegenerate datasetDegenerate
Df2RJafrocDataset Convert ratings arrays to an RJafroc dataset
DfBinDataset Returns a binned dataset
DfExtractDataset Extract a subset of modalities and readers from a dataset
DfFroc2Afroc Convert an FROC dataset to an AFROC dataset
DfFroc2Roc Convert an FROC dataset to an ROC dataset
DfLroc2Roc Convert an LROC dataset to a ROC dataset
DfReadCrossedModalities Read a crossed-modality data file
DfReadDataFile Read a data file
DfReadLrocDataFile Read a LROC data file
DfSaveDataFile Save ROC data file in a different format
ExampleCompare3ProperRocFits Compare three proper-ROC curve fitting models
FitBinormalRoc Fit the binormal model to selected treatment and reader in an ROC dataset
FitCbmRoc Fit the contaminated binormal model (CBM) to selected treatment and reader in an ROC dataset
FitRsmRoc Fit the radiological search model (RSM) to ROC data
PlotBinormalFit Plot binormal fit
PlotCbmFit Plot CBM fitted curve
PlotEmpiricalOperatingCharacteristics Plot empirical operating characteristics for specified dataset, treatment and reader
PlotRsmOperatingCharacteristics RSM predicted operating characteristics, ROC pdfs and different FOMs possible with FROC data
SimulateFrocDataset Simulates an MRMC uncorrelated FROC dataset using the RSM
SimulateRocDataset Simulates an individual binormal model ROC dataset
SsFROCPowerGivenJK Statistical power in ROC and FROC paradigms from an ROC/FROC/LROC NH binned dataset
SsPowerGivenJK Statistical power for specified numbers of readers and cases in an ROC study
SsPowerTable Generate a power table
SsSampleSizeKGivenJ Number of cases, for specified number of readers, to achieve desired power
StSignificanceTesting Perform significance testing, DBMH or ORH
StSignificanceTestingCadVsRadiologists Significance testing, CAD vs. radiologists
StSignificanceTestingCrossedModalities Perform significance testing using crossed modalities analysis
StSignificanceTestingSingleFixedFactor Perform significance testing for single fixed factor analysis
UtilAucBinormal Binormal model AUC function
UtilAucCBM CBM AUC function
UtilAucPROPROC PROPROC AUC function
UtilAucsRSM RSM ROC/AFROC AUC calculator
UtilFigureOfMerit Calculate empirical figures of merit (FOMs) for specified dataset
UtilIntrinsic2PhysicalRSM Convert from intrinsic to physical RSM parameters
UtilLesionDistribution Lesion distribution matrix
UtilLesionWeights Lesion weights matrix
UtilMeanSquares Calculate mean squares
UtilOutputReport Generate a formatted report file
UtilPhysical2IntrinsicRSM Convert from physical to intrinsic RSM parameters
UtilPseudoValues Calculate pseudovalues