startUV

Initialize starting values of U and V

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

startUV function

<dl><dt>Z</dt>
<dd>Degree-corrected network array data.</dd>
<dt>R</dt>
<dd>The dimensionality of latent space.</dd>
<dt>K</dt>
<dd>The dimensionality of Z.</dd></dl>

Arguments

Starting values of U and V — startUV

<dl>

<dt>Z</dt>
<dd>Degree-corrected network array data.</dd>


<dt>R</dt>
<dd>The dimensionality of latent space.</dd>


<dt>K</dt>
<dd>The dimensionality of Z.</dd>

</dl>

startUV: Starting values of U and V

Description

Usage

Value

Arguments