SimulateCorCbmDataset.RdSimulates single modality 2-reader binned ROC dataset, simulated according to the CORCBM model,
for the purpose of testing the fitting program FitCorCbm.
SimulateCorCbmDataset(
seed = 123,
K1 = 50,
K2 = 50,
desiredNumBins = 5,
muX = 1.5,
muY = 3,
alphaX = 0.4,
alphaY = 0.7,
rhoNor = 0.3,
rhoAbn2 = 0.8
)The seed variable, default is 123; set to NULL for truly random seed
The number of non-diseased cases, default is 50
The number of diseased cases, default is 50
The desired number of bins; default is 5
The CBM mu parameter in condition X
The CBM mu parameter in condition Y
The CBM alpha parameter in condition X
The CBM alpha parameter in condition Y
The correlation of non-diseased case z-samples
The correlation of diseased case z-samples, when disease is visible in both conditions
The desired dataset suitable for testing FitCorCbm
X and Y refer to the two arms of the pairing. muX and alphaX refer to the univariate CBM parameters
in condition X, rhoNor is the correlation of ratings of non-diseased cases and rhoAbn2 is the correlation of ratings of
diseased cases when disease is visible in both conditions. The ROC data is bined to 5 bins in each condition.
See referenced publication.
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.
dataset <- SimulateCorCbmDataset()
# \donttest{
## this takes very long
## dataset <- SimulateCorCbmDataset(K1 = 5000, K2 = 5000)
# }