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tsxtreme

Bayesian Modelling of Extremal Dependence in Time Series

Installation

About

Characterisation of the extremal dependence structure of time series, avoiding pre-processing and filtering as done typically with peaks-over-threshold methods. It uses the conditional approach of Heffernan and Tawn (2004) doi:10.1111/j.1467-9868.2004.02050.x which is very flexible in terms of extremal and asymptotic dependence structures, and Bayesian methods improve efficiency and allow for deriving measures of uncertainty. For example, the extremal index, related to the size of clusters in time, can be estimated and samples from its posterior distribution obtained.

Citation tsxtreme citation info

Key Metrics

Version 0.3.3
Published 2021-04-23 1101 days ago
Needs compilation? yes
License GPL-2
License GPL-3
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Maintainer

Maintainer

Thomas Lugrin

thomas.lugrin@alumni.epfl.ch

Authors

Thomas Lugrin

Material

README
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

tsxtreme archive

Imports

evd
mvtnorm
stats
MASS
graphics
tictoc