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 |