HugeAdjacency

Simulates the adjacency matrix encoding an unweighted, undirected graph with
no self-loops.

internal

This R package can be used to generate artificial data conditionally on pre-specified (simulated or user-defined) relationships between the variables and/or observations. Each observation is drawn from a multivariate Normal distribution where the mean vector and covariance matrix reflect the desired relationships. Outputs can be used to evaluate the performances of variable selection, graphical modelling, or clustering approaches by comparing the true and estimated structures (B Bodinier et al (2021) <arXiv:2106.02521>).

Barbara Bodinier

fake

Flexible Data Simulation Using the Multivariate Normal
Distribution

HugeAdjacency function

<dl><dt>pk</dt>
<dd>number of nodes.</dd>
<dt>topology</dt>
<dd>topology of the simulated graph. If using
<code>implementation=HugeAdjacency</code>, possible values are listed for the
argument <code>graph</code> of <code>huge.generator</code>. These are:
"random", "hub", "cluster", "band" and "scale-free".</dd>
<dt>nu</dt>
<dd>expected density (number of edges over the number of node pairs) of
the graph. This argument is only used for <code>topology="random"</code> or
<code>topology="cluster"</code> (see argument <code>prob</code> in
<code>huge.generator</code>).</dd>
<dt>...</dt>
<dd>additional arguments to be passed to
<code>huge.generator</code>.</dd></dl>

Arguments

Simulation of undirected graph — HugeAdjacency

<dl>

<dt>pk</dt>
<dd>number of nodes.</dd>


<dt>topology</dt>
<dd>topology of the simulated graph. If using
<code>implementation=HugeAdjacency</code>, possible values are listed for the
argument <code>graph</code> of <code>huge.generator</code>. These are:
"random", "hub", "cluster", "band" and "scale-free".</dd>


<dt>nu</dt>
<dd>expected density (number of edges over the number of node pairs) of
the graph. This argument is only used for <code>topology="random"</code> or
<code>topology="cluster"</code> (see argument <code>prob</code> in
<code>huge.generator</code>).</dd>


<dt>...</dt>
<dd>additional arguments to be passed to
<code>huge.generator</code>.</dd>

</dl>

HugeAdjacency: Simulation of undirected graph

Description

Usage

Value

Arguments