combineVm

Replaces Reduce(rbind, Vm) with pre-allocated matrix for better performance.
Used internally in MCMC loops.

internal

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

combineVm function

<dl><dt>Vm</dt>
<dd>List of regime-specific V matrices</dd>
<dt>ej</dt>
<dd>List of regime indicators (optional, for pre-allocation sizing)</dd>
<dt>R</dt>
<dd>Number of latent dimensions</dd></dl>

Arguments

Combine regime-specific V matrices efficiently — combineVm

<dl>

<dt>Vm</dt>
<dd>List of regime-specific V matrices</dd>


<dt>ej</dt>
<dd>List of regime indicators (optional, for pre-allocation sizing)</dd>


<dt>R</dt>
<dd>Number of latent dimensions</dd>

</dl>

combineVm: Combine regime-specific V matrices efficiently

Description

Usage

Value

Arguments