efrechet: Expectiles of the Frechet distribution

In AntoineUC/Expectrem: Bias-reduced estimation of extreme value index and extreme quantiles, expectiles and Expected Shortfalls

Expectiles of the Frechet distribution

Description

This function computes the expectiles of the Frechet distribution.

Usage

efrechet(probs, a, start.pt="quantile", tol=1e-08, maxiter=100, x0=NULL)

Arguments

probs	Numeric vector of probabilities with values in (0,1).
a	Parameter (strictly greater than 1) of the Frechet distribution.
start.pt	Choice of the starting points. Mean of the Frechet distribution if "mean", quantiles (levels probs) of the Frechet distribution if "quantile". The starting point is chosen manually if "custom".
tol	Tolerance in the stopping criterion. Default: 1e-08.
maxiter	Maximum number of iterations. Default: 100.
x0	Value of the starting point (only if start.pt="custom").

Details

The considered distribution has c.d.f. exp(-y^(-a)), y>0.

Author(s)

Antoine Usseglio-Carleve

AntoineUC/Expectrem documentation built on Feb. 14, 2025, 11:22 a.m.