`SimulateCorCbmDataset.Rd`

Simulates 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
)
```

- seed
The seed variable, default is 123; set to NULL for truly random seed

- K1
The number of non-diseased cases, default is 50

- K2
The number of diseased cases, default is 50

- desiredNumBins
The desired number of bins; default is 5

- muX
The CBM mu parameter in condition X

- muY
The CBM mu parameter in condition Y

- alphaX
The CBM alpha parameter in condition X

- alphaY
The CBM alpha parameter in condition Y

- rhoNor
The correlation of non-diseased case z-samples

- rhoAbn2
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)
# }
```