plot.diagRelUtility: Plot the decision curves of a diagnostic marker
In optimalThreshold: Bayesian Methods for Optimal Threshold Estimation

Plot the decision curves of a diagnostic marker

## S4 method for signature 'diagRelUtility'
plot(x, y, main = "Decision curves",
  lty = 1, lwd = 1, xlim = range(x@r), ylim = c(min(x@U,
  x@UNoTreat, x@UTreatAll), max(x@U, x@UNoTreat, x@UTreatAll)),
  ylab = "Expected benefit", xlab = "r", col.U = "black",
  col.UNoTreat = "blue", col.UTreatAll = "green", ...)

`x`	a `diagRelUtility` object.
`y`	unused parameter.
`main`	an overall title for the plot.
`lty`	the line type. Line types can either be specified as an integer (0=blank, 1=solid (default), 2=dashed, 3=dotted, 4=dotdash, 5=longdash, 6=twodash) or as one of the character strings "blank", "solid", "dashed", "dotted", "dotdash", "longdash", or "twodash", where "blank" uses 'invisible lines' (i.e., does not draw them).
`lwd`	the line width, a positive number, defaulting to 1. The interpretation is device-specific, and some devices do not implement line widths less than one. (See the help on the device for details of the interpretation).
`xlim`	the x limits of the plot.
`ylim`	the x limits of the plot.
`ylab`	a label for the y axis.
`xlab`	a label for the x axis
`col.U`	color of the utility curve for the marker-based strategy.
`col.UNoTreat`	color of the utility curve for the "No Treat" strategy.
`col.UTreatAll`	color of the utility curve for the "Treat All" strategy.
`...`	other graphical parameters.