scale_fill_networkchange

Colorblind-friendly discrete fill scale using viridis palette.

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

scale_fill_networkchange function

<dl><dt>...</dt>
<dd>Additional arguments passed to scale_fill_viridis_d</dd>
<dt>option</dt>
<dd>Viridis palette option: "D" (default), "A", "B", "C", "E"</dd></dl>

Arguments

NetworkChange Discrete Fill Scale — scale_fill_networkchange

<dl>

<dt>...</dt>
<dd>Additional arguments passed to scale_fill_viridis_d</dd>


<dt>option</dt>
<dd>Viridis palette option: "D" (default), "A", "B", "C", "E"</dd>

</dl>

scale_fill_networkchange: NetworkChange Discrete Fill Scale

Description

Usage

Value

Arguments