Plot the CBM-predicted ROC curve with provided CBM parameters

## Arguments

- mu
vector: the mean(s) of the z-samples of the diseased distribution(s) where the disease is visible

- alpha
vector: the proportion(s) of the diseased distribution(s) where the disease is visible

## Value

A ggplot2 object of the plotted ROC curve(s)

## Details

`mu`

and `alpha`

must have equal length.
The predicted ROC curve for each `mu`

and `alpha`

pair will be plotted.

## References

Dorfman DD, Berbaum KS (2000) A contaminated binormal model for ROC data: Part II.
A formal model, Acad Radiol 7, 427--437.

## Examples

```
cbmPlot <- PlotCbmFit(c(1, 2), c(0.5, 0.5))
## print(cbmPlot)
```