plot.trtSelRelUtility: Plot the decision curves of a treatment selection marker
In optimalThreshold: Bayesian Methods for Optimal Threshold Estimation

Plot the decision curves of a treatment selection marker

## S4 method for signature 'trtSelRelUtility'
plot(x, y, which = c(1, 2), alpha = 0.05,
  conf.int = TRUE, main1 = "Decision curves (unscaled)",
  main2 = "Decision curve (scaled)", lty = 1, lwd = 1,
  xlim = range(x@r), ylim1 = c(min(x@U, x@UT0, x@UT1, x@Up), max(x@U,
  x@UT0, x@UT1, x@Up)), ylim2 = c(0, 1), ylab1 = "Utility",
  ylab2 = "Relative utility", xlab = "r ratio", col.U = "black",
  col.Up = "red", col.UT0 = "blue", col.UT1 = "green",
  col.RU = "black", col.conf.int = "black", add = FALSE,
  legend1 = TRUE, ...)

`x`	a `trtSelRelUtility` object.
`y`	unused parameter.
`which`	indicates which graph should be plotted. Default is both graphs.
`alpha`	alpha risk for the confidence intervals.
`conf.int`	a logical value indicating whether the confidence intervals should be plotted for the relative utility curve.
`main1`	an overall title for the first plot.
`main2`	an overall title for the second 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 plots.
`ylim1`	the y limits of the first plot.
`ylim2`	the y limits of the second plot.
`ylab1`	a label for the y axis of the first plot.
`ylab2`	a label for the y axis of the second plot.
`xlab`	a label for the x axis of the plots.
`col.U`	color of the utility curve for the marker-based strategy.
`col.Up`	color of the utility curve for the perfect marker-based strategy.
`col.UT0`	color of the utility curve for the "Treat All with the reference treatment" strategy.
`col.UT1`	color of the utility curve for the "Treat All with the innovative treatment" strategy.
`col.RU`	color of the relative utility curve.
`col.conf.int`	color of the confidence intervals.
`add`	a logical value indicating whether the relative utility curve should superimpose with an existing graph. Only works when `which` = 2.
`legend1`	a logical value indicating whether a legend should be added to the first plot.
`...`	other graphical parameters.