plotContour

Draw a contour plot of latent node positions.
Uses colorblind-friendly viridis palette by default.

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

plotContour function

<dl><dt>OUT</dt>
<dd>Output of networkchange objects.</dd>
<dt>main</dt>
<dd>The title of plot</dd>
<dt>k</dt>
<dd>The number of levels (nlevels in contour ()).</dd>
<dt>my.cols</dt>
<dd>Color scale. Defaults to viridis palette. Can also use brewer.pal() from RColorBrewer.</dd></dl>

Arguments

Contour plot of latent node positions — plotContour

<dl>

<dt>OUT</dt>
<dd>Output of networkchange objects.</dd>


<dt>main</dt>
<dd>The title of plot</dd>


<dt>k</dt>
<dd>The number of levels (nlevels in contour ()).</dd>


<dt>my.cols</dt>
<dd>Color scale. Defaults to viridis palette. Can also use brewer.pal() from RColorBrewer.</dd>

</dl>

plotContour: Contour plot of latent node positions

Description

Usage

Value

Arguments