generate_random_cactus

Generates a random cactus graph (mostly useful for benchmarking).

Statistical methodology for sparse multivariate extreme value models. Methods are
provided for exact simulation and statistical inference for multivariate Pareto distributions
on graphical structures as described in the paper 'Graphical Models for Extremes' by
Engelke and Hitz (2020) <doi:10.1111/rssb.12355>.

Sebastian Engelke

graphicalExtremes

Statistical Methodology for Graphical Extreme Value Models

Adrien S. Hitz

Nicola Gnecco

Manuel Hentschel

generate_random_cactus function

<dl><dt>d</dt>
<dd>Number of vertices in the graph</dd>
<dt>cMin</dt>
<dd>Minimal size of each block (last block might be smaller)</dd>
<dt>cMax</dt>
<dd>Maximal size of each block</dd></dl>

Arguments

Generate a random cactus graph — generate_random_cactus

<dl>

<dt>d</dt>
<dd>Number of vertices in the graph</dd>


<dt>cMin</dt>
<dd>Minimal size of each block (last block might be smaller)</dd>


<dt>cMax</dt>
<dd>Maximal size of each block</dd>

</dl>

generate_random_cactus: Generate a random cactus graph

Description

Usage

Arguments

See Also