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Threshold Estimation Approaches

v1.1 · Apr 19, 2020 · GPL-3

Description

Different approaches for selecting the threshold in generalized Pareto distributions. Most of them are based on minimizing the AMSE-criterion or at least by reducing the bias of the assumed GPD-model. Others are heuristically motivated by searching for stable sample paths, i.e. a nearly constant region of the tail index estimator with respect to k, which is the number of data in the tail. The third class is motivated by graphical inspection. In addition, a sequential testing procedure for GPD-GoF-tests is also implemented here.

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CRAN incoming feasibility

Maintainer: ‘Johannes Ossberger <johannes.ossberger@gmail.com>’

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                    email = "johannes.ossberger@gmail.com")
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CRAN incoming feasibility

Maintainer: ‘Johannes Ossberger <johannes.ossberger@gmail.com>’

No Authors@R field in DESCRIPTION.
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                    family = "Ossberger",
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NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE r-devel-linux-x86_64-debian-clang

CRAN incoming feasibility

Maintainer: ‘Johannes Ossberger <johannes.ossberger@gmail.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = "Johannes",
                    family = "Ossberger",
                    role = c("aut", "cre"),
                    email = "johannes.ossberger@gmail.com")
as necessary.
NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘Johannes Ossberger <johannes.ossberger@gmail.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = "Johannes",
                    family = "Ossberger",
                    role = c("aut", "cre"),
                    email = "johannes.ossberger@gmail.com")
as necessary.

Dependency Network

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Version History

new 1.1 Mar 10, 2026
updated 1.1 ← 1.0 diff Apr 18, 2020
new 1.0 Jan 21, 2017