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| 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 |