autoplot Method for Predictive Return Levels

Predictive Return Level plot using an object containing the Return Levels.

Usage

# S3 method for predRL
autoplot(object, points = c("none", "p"), a = 0.5, ...)

Arguments

object

An object with class "predRL" corresponding to predictive Return Levels.

points

Character indicating if the data attached to the object (if any) should be shown (value "p") or not (value "none").

a

The value of the argument a of the function ppoints when computing the plotting postiions.

...

Not used yet.

Value

An object with class "gg" inheriting from "ggplot".

Details

The argument object contains a table of computed predictive Return Levels, in correspondence with an exceedance probability. The plot shows the tail-quantile function for the predictive distribution.

Note

In practice the predictive distribution for an Extreme-Value model has usually an heavy tail. Therefore at least for small probabilities of exceedance \(p\) the curve is convex (upward concave).

See also

autoplot.predRLList to compare predictive plots: for several predicted durations, several priors, several datasets, ...