generate_graphon

This function generates a graphon probability matrix based on a specified graphon type. 
Users can control the generation process through various parameters.

Network analysis usually requires estimating the uncertainty of
graph statistics. Through this package, we provide tools to bootstrap
various networks via local bootstrap procedure. Additionally, it includes
functions for generating probability matrices, creating network adjacency
matrices from probability matrices, and plotting network structures.
The reference will be updated soon.

Tianhai Zu

localboot

Local Bootstrap Methods for Various Networks

Yichen Qin

generate_graphon function

<dl><dt>size</dt>
<dd>An integer specifying the size of the network.</dd>
<dt>graph_num</dt>
<dd>An integer (default is 1) indicating the graphon type to use. 
Acceptable values are from 1 to 6.</dd>
<dt>sampling_on_u</dt>
<dd>A logical value determining if uniform sampling should be used for 'u'. 
Defaults to TRUE. If FALSE, a regular sequence from 0 to 1 is used.</dd>
<dt>u_input</dt>
<dd>An optional numeric vector that provides specific values for 'u'.
If NULL (default), 'u' is generated based on 'sampling_on_u'.</dd></dl>

Arguments

Generate a Graphon Probability Matrix — generate_graphon

<dl>

<dt>size</dt>
<dd>An integer specifying the size of the network.</dd>


<dt>graph_num</dt>
<dd>An integer (default is 1) indicating the graphon type to use. 
Acceptable values are from 1 to 6.</dd>


<dt>sampling_on_u</dt>
<dd>A logical value determining if uniform sampling should be used for 'u'. 
Defaults to TRUE. If FALSE, a regular sequence from 0 to 1 is used.</dd>


<dt>u_input</dt>
<dd>An optional numeric vector that provides specific values for 'u'.
If NULL (default), 'u' is generated based on 'sampling_on_u'.</dd>

</dl>

generate_graphon: Generate a Graphon Probability Matrix

Description

Usage

Value

Arguments

Examples