stepfit

is.stepfit

summary.stepfit

plot.stepfit

print.stepfit

Create, test or show objects of class "stepfit".

classes

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.

Thomas Lugrin

tsxtreme

Bayesian Modelling of Extremal Dependence in Time Series

stepfit function

<dl><dt>x</dt>
<dd>an arbitrary R object.</dd></dl>

Arguments

Estimates from stepwise fit — stepfit

<dl>

<dt>x</dt>
<dd>an arbitrary R object.</dd>

</dl>

stepfit: Estimates from stepwise fit

Description

Usage

Value

Arguments

See Also