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

<table summary="R argblock">
<tr valign="top">
<td><code>s</code></td>
<td>
<p>Latent state vector</p>
</td>
</tr>
<tr valign="top">
<td><code>ns</code></td>
<td>
<p>The number of hidden states</p>
</td>
</tr>
<tr valign="top">
<td><code>P</code></td>
<td>
<p>Transition matrix</p>
</td>
</tr>
<tr valign="top">
<td><code>A0</code></td>
<td>
<p>Prior of transition matrix</p>
</td>
</tr>
</table>

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

updateP

Description

Usage

Arguments

Value

NetworkChange

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`s`	Latent state vector
`ns`	The number of hidden states
`P`	Transition matrix
`A0`	Prior of transition matrix