gmodel.preset

<code>gmodel.preset</code> generates one of pre-specified graphons
of size \((n \times n)\). Users can select one of 10 different graphons by
their <code>id</code>, an integer from 1 to 10. The table of available graphons
follows that of the reference article given below.

Provides a not-so-comprehensive list of methods for estimating graphon,
a symmetric measurable function, from a single or multiple of observed networks.
For a detailed introduction on graphon and popular estimation techniques,
see the paper by Orbanz, P. and Roy, D.M.(2014) <doi:10.1109/TPAMI.2014.2334607>.
It also contains several auxiliary functions for generating sample networks
using various network models and graphons.

Kisung You

graphon

A Collection of Graphon Estimation Methods

gmodel.preset function

<dl><dt>n</dt>
<dd>the number of nodes for a graphon to be generated.</dd>
<dt>id</dt>
<dd>an integer from 1 to 10, each corresponding to a specific graphon model.</dd>
<dt>sort</dt>
<dd>a logical value; TRUE to sort in an decreasing order of degree, FALSE otherwise.</dd></dl>

Arguments

Generate one of pre-specified graphons. — gmodel.preset

<dl>

<dt>n</dt>
<dd>the number of nodes for a graphon to be generated.</dd>


<dt>id</dt>
<dd>an integer from 1 to 10, each corresponding to a specific graphon model.</dd>


<dt>sort</dt>
<dd>a logical value; TRUE to sort in an decreasing order of degree, FALSE otherwise.</dd>

</dl>

gmodel.preset: Generate one of pre-specified graphons.

Description

Usage

Value

Arguments

References