updateV

Update layer specific network generation rules using optimized matrix operations.
Eliminates redundant array permutations for better performance.

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

updateV function

<dl><dt>Zb</dt>
<dd>Z - beta.</dd>
<dt>U</dt>
<dd>The latent node positions.</dd>
<dt>R</dt>
<dd>The dimension of latent space.</dd>
<dt>K</dt>
<dd>The dimension of Z.</dd>
<dt>s2</dt>
<dd>The variance of error.</dd>
<dt>eV</dt>
<dd>The mean of V.</dd>
<dt>iVV</dt>
<dd>The variance of V.</dd>
<dt>UTA</dt>
<dd>Indicator of upper triangular array</dd></dl>

updateV: Update layer specific network generation rules

Description

Usage

Value

Arguments