updateP

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. This version includes performance optimizations with vectorized MCMC operations and modern ggplot2-based visualizations with colorblind-friendly palettes.

Jong Hee Park

NetworkChange

Bayesian Package for Network Changepoint Analysis

Yunkyu Sohn

updateP function

<dl><dt>s</dt>
<dd>Latent state vector</dd>
<dt>ns</dt>
<dd>The number of hidden states</dd>
<dt>P</dt>
<dd>Transition matrix</dd>
<dt>A0</dt>
<dd>Prior of transition matrix</dd></dl>

Arguments

Update transition matrix — updateP

<dl>

<dt>s</dt>
<dd>Latent state vector</dd>


<dt>ns</dt>
<dd>The number of hidden states</dd>


<dt>P</dt>
<dd>Transition matrix</dd>


<dt>A0</dt>
<dd>Prior of transition matrix</dd>

</dl>

updateP: Update transition matrix

Description

Usage

Value

Arguments