Plot the Hill estimate of the tail index of heavy-tailed data, or of an associated quantile estimate.
hill(data, option = c("alpha","xi","quantile"), start =15, end =NA, reverse =FALSE, p =NA, ci =0.95, auto.scale =TRUE, labels =TRUE,...)
Arguments
data: data vector
option: whether "alpha", "xi" (1/alpha) or "quantile" (a quantile estimate) should be plotted
start: lowest number of order statistics at which to plot a point
end: highest number of order statistics at which to plot a point
reverse: whether plot is to be by increasing threshold (TRUE) or increasing number of order statistics (FALSE)
p: probability required when option "quantile" is chosen
ci: probability for asymptotic confidence band; for no confidence band set ci to zero
auto.scale: whether or not plot should be automatically scaled; if not, xlim and ylim graphical parameters may be entered
labels: whether or not axes should be labelled
...: other graphics parameters
Details
This plot is usually calculated from the alpha perspective. For a generalized Pareto analysis of heavy-tailed data using the gpd function, it helps to plot the Hill estimates for xi.
See Also
shape, quant
Examples
## Not run: data(danish)## Not run: hill(danish)# Hill plot of heavy-tailed Danish fire insurance data ## Not run: hill(danish, option = "quantile", end = 500, p = 0.999)# Hill plot of estimated 0.999 quantile of Danish fire insurance data