DrawCurves_srsc: Draw the FROC curves
In BayesianFROC: FROC Analysis by Bayesian Approaches

Draw an FROC curves and an AFROC curves.

DrawCurves_srsc(
  StanS4class,
  type = 4,
  type_to_be_passed_into_plot = "p",
  title = TRUE,
  indexCFPCTP = FALSE,
  upper_x,
  upper_y,
  lower_X = 0,
  lower_y = 0,
  new.imaging.device = TRUE,
  Drawcol = TRUE,
  DrawFROCcurve = TRUE,
  DrawAFROCcurve = FALSE,
  DrawCFPCTP = TRUE,
  Draw.inner.circle.for.CFPCTPs = TRUE,
  DrawAUC = TRUE
)

`StanS4class`	An S4 object of class `stanfitExtended` which is an inherited class from the S4 class `stanfit`. This R object is a fitted model object as a return value of the function `fit_Bayesian_FROC()`. To be passed to `DrawCurves()` ... etc
`type`	An integer, for the color of background and etc.
`type_to_be_passed_into_plot`	"l" or "p".
`title`	Logical: `TRUE` of `FALSE`. If `TRUE` (default), then title of curves are drawn.
`indexCFPCTP`	TRUE of FALSE. If TRUE, then the cumulative false and hits are specified with its confidence level.
`upper_x`	A non-negative real number. This is a upper bound for the axis of the horisontal coordinate of FROC curve.
`upper_y`	A non-negative real number. This is a upper bound for the axis of the vertical coordinate of FROC curve.
`lower_X`	A non-negative real number. This is a lower bound for the axis of the horisontal coordinate of FROC curve.
`lower_y`	A non-negative real number. This is a lower bound for the axis of the vertical coordinate of FROC curve.
`new.imaging.device`	Logical: `TRUE` of `FALSE`. If TRUE (default), then open a new device to draw curve. Using this we can draw curves in same plain by new.imaging.device=FALSE.
`Drawcol`	Logical: `TRUE` of `FALSE`. Whether the (A)FROC curve is to be drawn by using color of dark theme. The Default value is a `TRUE`.
`DrawFROCcurve`	Logical: `TRUE` of `FALSE`. Whether or not FROC curves are shown.
`DrawAFROCcurve`	Logical: `TRUE` of `FALSE`. Whether or not AFROC curves are shown.
`DrawCFPCTP`	Logical: `TRUE` of `FALSE`. Whether or not the pairs of FPF and TPF are shown.
`Draw.inner.circle.for.CFPCTPs`	TRUE or FALSE. If true, then to plot the cumulative false positives and true positives the plot points is depicted by two way, one is a large circle and one is a small circle. By see the small circle, user can see the more precise position of these points.
`DrawAUC`	TRUE of FALSE. If TRUE then area under the AFROC curves are painted.