nodeSampler

Virtual class for all node-centered samplers
Virtual class for all node-centered samplers

When a network is partially observed (here, NAs in the adjacency matrix rather than 1 or 0
due to missing information between node pairs), it is possible to account for the underlying process
that generates those NAs. 'missSBM' adjusts the popular stochastic block model from network data
sampled under various missing data conditions, as described in Tabouy, Barbillon and Chiquet (2019) <doi:10.1080/01621459.2018.1562934>.

Julien Chiquet

missSBM

Handling Missing Data in Stochastic Block Models

Pierre Barbillon

Timoth<c3><a9>e Tabouy

gro<c3><9f>BM team

nodeSampler function

<code><a rd-options="missSBM:networkSampling" href="/link/missSBM%3A%3AnetworkSampling?package=missSBM&version=0.3.0&to=missSBM%3AnetworkSampling" data-mini-rdoc="missSBM:networkSampling::missSBM::networkSampling">missSBM::networkSampling</a></code> -&gt; <code><a rd-options="missSBM:networkSampler" href="/link/missSBM%3A%3AnetworkSampler?package=missSBM&version=0.3.0&to=missSBM%3AnetworkSampler" data-mini-rdoc="missSBM:networkSampler::missSBM::networkSampler">missSBM::networkSampler</a></code> -&gt; <code>nodeSampler</code>

Super classes

<h3>Public methods</h3><ul>
<li><a href="/link/nodeSampler%24clone()?package=missSBM&version=0.3.0" data-mini-rdoc="missSBM::nodeSampler$clone()"><code>nodeSampler$clone()</code></a></li>
</ul>
<ul>
<li><a href="/link/missSBM%3A%3AnetworkSampling%24print()?package=missSBM&version=0.3.0" data-mini-rdoc="missSBM::missSBM::networkSampling$print()"><code>missSBM::networkSampling$print()</code></a></li>
<li><a href="/link/missSBM%3A%3AnetworkSampling%24show()?package=missSBM&version=0.3.0" data-mini-rdoc="missSBM::missSBM::networkSampling$show()"><code>missSBM::networkSampling$show()</code></a></li>
<li><a href="/link/missSBM%3A%3AnetworkSampler%24initialize()?package=missSBM&version=0.3.0" data-mini-rdoc="missSBM::missSBM::networkSampler$initialize()"><code>missSBM::networkSampler$initialize()</code></a></li>
<li><a href="/link/missSBM%3A%3AnetworkSampler%24rSamplingMatrix()?package=missSBM&version=0.3.0" data-mini-rdoc="missSBM::missSBM::networkSampler$rSamplingMatrix()"><code>missSBM::networkSampler$rSamplingMatrix()</code></a></li>
</ul><h3>Method <code>clone()</code></h3>The objects of this class are cloneable with this method.
<h3>Usage</h3><pre>nodeSampler$clone(deep = FALSE)</pre><h3>Arguments</h3><dl class="dl-horizontal">
<dt><code>deep</code></dt><dd>Whether to make a deep clone.</dd>
</dl>

Methods

Virtual class for all node-centered samplers — nodeSampler

<code><a rd-options='missSBM:networkSampling' href='missSBM::networkSampling'>missSBM::networkSampling</a></code> -&gt; <code><a rd-options='missSBM:networkSampler' href='missSBM::networkSampler'>missSBM::networkSampler</a></code> -&gt; <code>nodeSampler</code>

nodeSampler: Virtual class for all node-centered samplers

Description

Arguments

Super classes

Methods

Public methods

Method `clone()`

Usage

Arguments

Description

Arguments

Super classes

Methods

Public methods

Method clone()

Usage

Arguments

Method `clone()`