R: Artificial Intelligence Systems and Observer Performance

# Artificial Intelligence Systems and Observer Performance

## Documentation for package ‘RJafroc’ version 2.1.2

- DESCRIPTION file
- Package NEWS

## Help Pages

RJafroc-package | Artificial Intelligence Systems and Observer Performance
ChisqrGoodnessOfFit | Compute the chisquare goodness of fit statistic for ROC fitting model
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 | Mark 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 'FitCorCbm'; seed = 123
datasetBinned124 | Binned dataset suitable for checking 'FitCorCbm'; seed = 124
datasetBinned125 | Binned dataset suitable for checking 'FitCorCbm'; 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)
datasetFROCSpC | Simulated FROC SPLIT-PLOT-C dataset
datasetROI | Simulated ROI dataset
Df2RJafrocDataset | Convert ratings arrays to an RJafroc dataset
DfBinDataset | Returns a binned dataset
DfCreateCorCbmDataset | Create paired dataset for testing 'FitCorCbm'
DfExtractCorCbmDataset | Extract two arms of a pairing from an MRMC ROC dataset
DfExtractDataset | Extract a subset of treatments and readers from a 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
DfSaveDataFile | Save ROC dataset in different formats
DfWriteExcelDataFile | Save dataset object as a JAFROC format Excel file
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
FitCorCbm | Fit CORCBM to a paired ROC dataset
FitRsmRoc | Fit the radiological search model (RSM) to an ROC dataset
isBinnedDataset | Determine if a dataset is binned
isValidDataset | Check the validity of a 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 AUCs
RSM_LLF | RSM predicted FROC ordinate
RSM_NLF | RSM predicted FROC abscissa
RSM_pdfD | RSM predicted ROC-rating pdf for diseased cases
RSM_pdfN | RSM predicted ROC-rating pdf for non-diseased cases
RSM_wLLF | RSM predicted wAFROC ordinate
RSM_xROC | RSM predicted ROC-abscissa as function of z
RSM_yROC | RSM predicted ROC-ordinate as function of z
SimulateCorCbmDataset | Simulate paired binned data for testing FitCorCbm
SimulateFrocDataset | Simulates an MRMC uncorrelated FROC dataset using the RSM
SimulateFrocFromLrocDataset | Simulates an "AUC-equivalent" FROC dataset from an LROC dataset
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
SsPowerGivenJKDbmVarCom | Power given J, K and Dorfman-Berbaum-Metz variance components
SsPowerGivenJKOrVarCom | Power given J, K and Obuchowski-Rockette variance components
SsPowerTable | Generate a power table using the OR method
SsSampleSizeKGivenJ | Number of cases, for specified number of readers, to achieve desired power
StSignificanceTesting | Performs DBM or OR significance testing for factorial or split-plot A,C datasets
StSignificanceTestingCadVsRad | Significance testing: standalone CAD vs. radiologists
StSignificanceTestingCrossedModalities | Perform significance testing using crossed treatments analysis
UtilAnalyticalAucsRSM | RSM ROC/AFROC/wAFROC AUC calculator
UtilAucBinormal | Binormal model AUC function
UtilAucCBM | CBM AUC function
UtilAucPROPROC | PROPROC AUC function
UtilDBM2ORVarCom | Convert from DBM to OR variance components
UtilFigureOfMerit | Calculate empirical figures of merit (FOMs) for specified dataset
UtilIntrinsic2RSM | Convert from intrinsic to physical RSM parameters
UtilLesionDistrVector | Get the lesion distribution vector of a dataset
UtilLesionWeightsMatrix | Determine lesion weights distribution 2D matrix
UtilLesionWeightsMatrixDataset | Determine lesion weights distribution 2D matrix
UtilLesionWeightsMatrixLesDistr | Determine lesion weights distribution 2D matrix
UtilMeanSquares | Calculate mean squares for factorial dataset
UtilOR2DBMVarCom | Convert from OR to DBM variance components
UtilORVarComponentsFactorial | Utility for estimating Obuchowski-Rockette variance components for factorial datasets
UtilOutputReport | Generate a text formatted report file or an Excel file
UtilPseudoValues | Pseudovalues for given dataset and FOM
UtilRSM2Intrinsic | Convert from physical to intrinsic RSM parameters
UtilVarComponentsDBM | Utility for Dorfman-Berbaum-Metz variance components