plot.mev_thselect_wadsworth

Sequential analysis diagnostic plots for threshold selection

Various tools for the analysis of univariate, multivariate and functional extremes. Exact simulation from max-stable processes (Dombry, Engelke and Oesting, 2016, <doi:10.1093/biomet/asw008>, R-Pareto processes for various parametric models, including Brown-Resnick (Wadsworth and Tawn, 2014, <doi:10.1093/biomet/ast042>) and Extremal Student (Thibaud and Opitz, 2015, <doi:10.1093/biomet/asv045>). Threshold selection methods, including Wadsworth (2016) <doi:10.1080/00401706.2014.998345>, and Northrop and Coleman (2014) <doi:10.1007/s10687-014-0183-z>. Multivariate extreme diagnostics. Estimation and likelihoods for univariate extremes, e.g., Coles (2001) <doi:10.1007/978-1-4471-3675-0>.

Leo Belzile

Modelling of Extreme Values

Jennifer L. Wadsworth

Paul J. Northrop

Raphael Huser

Scott D. Grimshaw

Jin Zhang

Michael A. Stephens

Art B. Owen

plot.mev_thselect_wadsworth function

<dl><dt>x</dt>
<dd>object returned by a call to <code>thselect.wseq</code></dd>
<dt>type</dt>
<dd>string giving the plots to produce</dd>
<dt>...</dt>
<dd>additional arguments passed to plotting function</dd></dl>

Arguments

Sequential analysis diagnostic plots for threshold selection — plot.mev_thselect_wadsworth

<dl>

<dt>x</dt>
<dd>object returned by a call to <code>thselect.wseq</code></dd>


<dt>type</dt>
<dd>string giving the plots to produce</dd>


<dt>...</dt>
<dd>additional arguments passed to plotting function</dd>

</dl>

plot.mev_thselect_wadsworth: Sequential analysis diagnostic plots for threshold selection

Description

Usage

Value

Arguments