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smoothtail

Smooth Estimation of GPD Shape Parameter

Installation

About

Given independent and identically distributed observations X(1), ..., X(n) from a Generalized Pareto distribution with shape parameter gamma in [-1,0], offers several estimates to compute estimates of gamma. The estimates are based on the principle of replacing the order statistics by quantiles of a distribution function based on a log–concave density function. This procedure is justified by the fact that the GPD density is log–concave for gamma in [-1,0].

www.kasparrufibach.ch

Key Metrics

Version 2.0.5
Published 2016-07-13 2851 days ago
Needs compilation? no
License GPL-2
License GPL-3
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Maintainer

Maintainer

Kaspar Rufibach

kaspar.rufibach@gmail.com

Authors

Kaspar Ru{f}{i}bach
Samuel Mueller

Material

NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

smoothtail archive

Depends

logcondens ≥ 2.0.0

Imports

stats