RJafroc-package | Artificial Intelligence Systems and Observer Performance |
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 '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 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 |
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 highest rating pdfs and FOMs, for FROC data |
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 |
UtilIntrinsic2PhysicalRSM | Convert from intrinsic to physical RSM parameters |
UtilLesionDistr | Lesion distribution of a dataset or as specified by a one-dimensional array |
UtilLesionWeightsDistr | Lesion weights distribution |
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 |
UtilPhysical2IntrinsicRSM | Convert from physical to intrinsic RSM parameters |
UtilPseudoValues | Pseudovalues for given dataset and FOM |
UtilVarComponentsDBM | Utility for Dorfman-Berbaum-Metz variance components |