# Analyzing Diagnostic Observer Performance Studies

## Documentation for package ‘RJafroc’ version 1.3.2

- DESCRIPTION file.

## Help Pages

RJafroc-package | RJafroc: Analyzing Diagnostic Observer Performance Studies
ChisqrGoodnessOfFit | Compute the chisquare goodness of fit statistic for ROC fitting model
Compare3ProperRocFits | Compare three proper-ROC curve fitting models
dataset01 | TONY FROC dataset
dataset02 | Van Dyke ROC dataset
dataset03 | Franken ROC dataset
dataset04 | Federica Zanca FROC dataset
dataset05 | John Thompson FROC dataset
dataset06 | Magnus FROC dataset
dataset07 | Lucy Warren FROC dataset
dataset08 | Monica Penedo ROC dataset
dataset09 | Nico Karssemeijer ROC dataset (CAD vs. radiologists)
dataset10 | Marc Ruschin ROC dataset
dataset11 | Dobbins 1 FROC dataset
dataset12 | Dobbins 2 ROC dataset
dataset13 | Dobbins 3 FROC dataset
dataset14 | Federica Zanca real (as opposed to inferred) ROC dataset
datasetBinned123 | Binned dataset suitable for checking 'FitCorCbmRoc'; seed = 123
datasetBinned124 | Binned dataset suitable for checking 'FitCorCbmRoc'; seed = 124
datasetBinned125 | Binned dataset suitable for checking 'FitCorCbmRoc'; seed = 125
datasetCadLroc | Nico Karssemeijer LROC dataset (CAD vs. radiologists)
datasetCadSimuFroc | Simulated FROC CAD vs. RAD dataset
datasetCrossedModality | John Thompson crossed treatment FROC dataset
datasetDegenerate | Simulated degenerate ROC dataset (for testing purposes)
datasetROI | Simulated ROI dataset
Df2RJafrocDataset | Convert ratings arrays to an RJafroc dataset
DfBinDataset | Returns a binned dataset
DfCreateCorCbmDataset | Create paired dataset for testing 'FitCorCbmRoc'
DfExtractCorCbmDataset | Extract two arms of a pairing from an MRMC ROC dataset
DfExtractDataset | Extract a subset of treatments and readers from a dataset
DfFroc2Afroc | Convert an FROC dataset to an AFROC dataset
DfFroc2Lroc | Simulates an "AUC-equivalent" LROC dataset from an FROC dataset
DfFroc2Roc | Convert an FROC dataset to an ROC dataset
DfLroc2Froc | Simulates an "AUC-equivalent" FROC dataset from an LROC dataset
DfLroc2Roc | Convert an LROC dataset to a ROC dataset
DfReadCrossedModalities | Read a crossed-treatment data file
DfReadDataFile | Read a data file
DfReadLrocDataFile | Read a LROC data file
DfSaveDataFile | Save ROC data file in a different format
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
FitCorCbmRoc | Fit CORCBM to a paired ROC dataset
FitRsmRoc | Fit the radiological search model (RSM) to an ROC dataset
PlotBinormalFit | Plot binormal fit
PlotCbmFit | Plot CBM fitted curve
PlotEmpiricalOperatingCharacteristics | Plot empirical operating characteristics, ROC, FROC or LROC
PlotRsmOperatingCharacteristics | RSM predicted operating characteristics, ROC pdfs and different FOMs possible with FROC data
SimulateCorCbmDataset | Simulate paired binned data for testing FitCorCbmRoc
SimulateFrocDataset | Simulates an MRMC uncorrelated FROC dataset using the RSM
SimulateLrocDataset | Simulates an uncorrelated FLROC FrocDataset using the RSM
SimulateRocDataset | Simulates a binormal model ROC dataset
SsFrocNhRsmModel | RSM fitted model for FROC sample size
SsPowerGivenJK | Statistical power for specified numbers of readers and cases
SsPowerGivenJKDbmVarComp | Power given J, K and Dorfman-Berbaum-Metz variance components
SsPowerGivenJKOrVarComp | Power given J, K and Obuchowski-Rockette variance components
SsPowerTable | Generate a power table
SsSampleSizeKGivenJ | Number of cases, for specified number of readers, to achieve desired power
StSignificanceTesting | Perform DBM or OR significance testing
StSignificanceTestingCadVsRadiologists | Significance testing: standalone CAD vs. radiologists
StSignificanceTestingCrossedModalities | Perform significance testing using crossed treatments analysis
StSignificanceTestingSingleFixedFactor | Perform significance testing for single fixed factor analysis
StSingleTreatmentRandomReader | Significance testing for single random factor
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
UtilLesionDistr | Lesion distribution matrix
UtilLesionWeightsDistr | Lesion weights distribution
UtilMeanSquares | Calculate mean squares
UtilOutputReport | Generate a text formatted report file or an Excel file
UtilPhysical2IntrinsicRSM | Convert from physical to intrinsic RSM parameters
UtilPseudoValues | Calculate pseudovalues
UtilVarComponentsDBM | Utility for Dorfman-Berbaum-Metz variance components
UtilVarComponentsOR | Utility for Obuchowski-Rockette variance components