Artificial Intelligence Systems and Observer Performance
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Documentation for package ‘RJafroc’ version 2.1.2
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 |