R Under development (unstable) (2023-11-23 r85618 ucrt) -- "Unsuffered Consequences"
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> require(SkewHyperbolic)
Loading required package: SkewHyperbolic
> ## source("../R/skewhypTailPlotLine.R")
> tailPlot <- DistributionUtils :: tailPlot  ## for convenience below
> ### Draw tail plot of some data
> param <- c(0,1,2,10)
> set.seed(101, kind = "default", normal.kind = "default")
> x <- rskewhyp(500, param = param)
> tailPlot(x)
> ### Add skew hyperbolic t-distribution line
> skewhypTailPlotLine(x, param = param)
> ### Parameters from fit may look better
> paramFit <- skewhypFit(x, plots = FALSE)$param

Data:      x 
Parameter estimates:
     mu    delta     beta       nu  
-0.1306   1.0406   3.5865  12.2400  
Likelihood:         -196.934 
Method:             Nelder-Mead 
Convergence code:   0 
Iterations:         463 
> tailPlot(x)
> skewhypTailPlotLine(x, param = param)
> skewhypTailPlotLine(x, param = paramFit, col = "steelblue")
> 
> ### Left tail example
> tailPlot(x, side = "l")
> ### Add skew hyperbolic t-distribution line
> skewhypTailPlotLine(x, param = paramFit, side = "l")
> ### Log scale on both axes
> tailPlot(x, side = "r", log = "xy")
> ### Add skew hyperbolic t-distribution line
> skewhypTailPlotLine(x, param = paramFit, side = "r")
> 
> 
> proc.time()
   user  system elapsed 
   0.62    0.04    0.65