updateb

Update time-constant regression parameters

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

updateb function

<dl><dt>Z</dt>
<dd>Degree corrected response tensor</dd>
<dt>MU</dt>
<dd>Mean array</dd>
<dt>s2</dt>
<dd>Error variance</dd>
<dt>XtX</dt>
<dd>X'X</dd>
<dt>b0</dt>
<dd>Prior mean of beta</dd>
<dt>B0</dt>
<dd>Prior variance of beta</dd></dl>

Arguments

Update time-constant regression parameters — updateb

<dl>

<dt>Z</dt>
<dd>Degree corrected response tensor</dd>


<dt>MU</dt>
<dd>Mean array</dd>


<dt>s2</dt>
<dd>Error variance</dd>


<dt>XtX</dt>
<dd>X'X</dd>


<dt>b0</dt>
<dd>Prior mean of beta</dd>


<dt>B0</dt>
<dd>Prior variance of beta</dd>

</dl>

updateb: Update time-constant regression parameters

Description

Usage

Value

Arguments