updates2m

Update regime-specific variance parameter

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

updates2m function

<dl><dt>ns</dt>
<dd>The number of hidden states</dd>
<dt>Zm</dt>
<dd>The regime-specific holder of Z - beta</dd>
<dt>MU</dt>
<dd>The mean array.</dd>
<dt>c0</dt>
<dd>Scalar shape parameter</dd>
<dt>d0</dt>
<dd>Scalar scale parameter</dd>
<dt>Km</dt>
<dd>Regime-specific dimensions</dd></dl>

Arguments

Update regime-specific variance — updates2m

<dl>

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


<dt>Zm</dt>
<dd>The regime-specific holder of Z - beta</dd>


<dt>MU</dt>
<dd>The mean array.</dd>


<dt>c0</dt>
<dd>Scalar shape parameter</dd>


<dt>d0</dt>
<dd>Scalar scale parameter</dd>


<dt>Km</dt>
<dd>Regime-specific dimensions</dd>

</dl>

updates2m: Update regime-specific variance

Description

Usage

Value

Arguments