RJafroc (version 1.3.2)

datasetBinned123: Binned dataset suitable for checking FitCorCbmRoc; seed = 123

Description

A binned dataset suitable for analysis by FitCorCbmRoc. It was generated by DfCreateCorCbmDataset by setting the seed variable to 123. Note the formatting of the data as a single treatment two reader dataset, even though the actual pairing might be different, see FitCorCbmRoc. The dataset is intentionally large so as to demonstrate the asymptotic convergence of ML estimates, produced by FitCorCbmRoc, to the population values. The data was generated by the following argument values to DfCreateCorCbmDataset: seed = 123, K1 = 5000, K2 = 5000, desiredNumBins = 5, muX = 1.5, muY = 3, alphaX = 0.4, alphaY = 0.7, rhoNor = 0.3, rhoAbn2 = 0.8.

Usage

datasetBinned123

Format

A list with 8 elements:

• NL Ratings array [1, 1:2, 1:10000, 1], of non-lesion localizations, NLs

• LL Ratings array [1, 1:2, 1:5000, 1], of lesion localizations, LLs

• lesionVector array [1:5000], number of lesions per diseased case, all set to one

• lesionID array [1:5000, 1], lesions labels on diseased cases, all set to one

• lesionWeight array [1:5000, 1], weights, all set to one

• dataType "ROC", the data type

• modalityID "1", treatment label

• readerID [1:2] "1" "2", reader labels

References

Zhai X, Chakraborty DP (2017). A bivariate contaminated binormal model for robust fitting of proper ROC curves to a pair of correlated, possibly degenerate, ROC datasets. Medical Physics. 44(6):2207--2222.

Examples

# NOT RUN {
str(datasetBinned123)

# }