All functions

ChisqrGoodnessOfFit()

Compute the chisquare goodness of fit statistic for ROC fitting model

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

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

RJafroc-package

Artificial Intelligence Systems and Observer Performance

RSM_FPF()

RSM predicted ROC-abscissa as function of z

RSM_LLF()

RSM predicted FROC ordinate

RSM_NLF()

RSM predicted FROC abscissa

RSM_TPF()

RSM predicted ROC-ordinate as function of z

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, cpp code

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()

Construct RSM NH model for FROC sample size estimation

SsFrocSampleSize()

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

Util2Intrinsic()

Convert from physical to intrinsic RSM parameters

Util2Physical()

Convert from intrinsic to physical RSM parameters

UtilAnalyticalAucsRSM()

RSM ROC/AFROC/wAFROC AUC calculator

UtilAucBIN()

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

UtilLesDistr()

The lesionID distribution of a dataset or a supplied 1D-array

UtilLesWghtsDS() UtilLesWghtsLD()

Lesion weights distribution matrix

UtilMeanSquares()

Calculate mean squares for factorial dataset

UtilOR2DBMVarCom()

Convert from OR to DBM variance components

UtilOutputReport()

Generate a text formatted report file or an Excel file

UtilPseudoValues()

Pseudovalues for given dataset and FOM

UtilVarComponentsDBM()

Utility for Dorfman-Berbaum-Metz variance components

UtilVarComponentsOR()

Utility for estimating Obuchowski-Rockette variance components for factorial datasets

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

datasetDegenerate

Simulated degenerate ROC dataset (for testing purposes)

datasetFROCSpC

Simulated FROC SPLIT-PLOT-C dataset

datasetROI

Simulated ROI dataset

datasetXModality

John Thompson crossed treatment FROC dataset

isBinnedDataset()

Determine if a dataset is binned

isValidDataset()

Check the validity of a dataset