Network changepoint analysis for undirected network data. The package implements a hidden Markov network change point model (Park and Sohn 2020). Functions for break number detection using the approximate marginal likelihood and WAIC are also provided.

Bayesian Package for Network Changepoint Analysis

package-ubuntu-20.04-r-4.0.5#cran#NetworkChange-0.7

<p>Initialize starting values of U and V
</p>

<table summary="R argblock">
<tr valign="top">
<td><code>Z</code></td>
<td>
<p>Degree-corrected network array data.</p>
</td>
</tr>
<tr valign="top">
<td><code>R</code></td>
<td>
<p>The dimensionality of latent space.</p>
</td>
</tr>
<tr valign="top">
<td><code>K</code></td>
<td>
<p>The dimensionality of Z.</p>
</td>
</tr>
</table>

package-ubuntu-20.04-r-4.0.5#cran#NetworkChange-0.7#docs#startUV

startUV

Description

Usage

Arguments

Value

NetworkChange

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`Z`	Degree-corrected network array data.
`R`	The dimensionality of latent space.
`K`	The dimensionality of Z.