Plot block length diagnostic for the semiparametric maxima estimator

plot method for objects inheriting from class "choose_b", returned from choose_b

# S3 method for choose_b
plot(
  x,
  y,
  ...,
  estimator = c("N2015", "BB2018"),
  maxima = c("sliding", "disjoint")
)

Arguments

x: an object of class c("choose_b", "exdex"), a result of a call to choose_b.
y: Not used.
...: Additional arguments passed on to matplot and/or axis.
estimator: Choice of estimator: "N2015" for Northrop (2015), "BB2018" for Berghaus and Bucher (2018). See spm for details.
maxima: Should the estimator be based on sliding or disjoint maxima?

Value

Nothing is returned.

Details

Produces a simple diagnostic plot to aid the choice of block length \(b\) based on the object returned from choose_b. Estimates of \(b\) and approximate conf% confidence intervals are plotted against the value of \(b\) used to produce each estimate. The type of confidence interval is determined by the arguments interval_type, conf_scale and type provided in the call to choose_b.

Examples

See the examples in choose_b.

References

Northrop, P. J. (2015) An efficient semiparametric maxima estimator of the extremal index. Extremes 18(4), 585-603. doi:10.1007/s10687-015-0221-5