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.

This permutation based hypothesis test, suited for several types of data 
    supported by the estimateNetwork function of the bootnet package (Epskamp & Fried, 2018), 
    assesses the difference between two networks based on several invariance measures (network 
    structure invariance, global strength invariance, edge invariance, several centrality 
    measures, etc.). Network structures are estimated with l1-regularization. The Network 
    Comparison Test is suited for comparison of independent (e.g., two different groups) and 
    dependent samples (e.g., one group that is measured twice). See van Borkulo et al. (2021),
    available from <doi:10.1037/met0000476>.

A permutation-based hypothesis test for statistical comparison of two networks based on the invariance measures of the R package 'NetworkComparisonTest' by van Borkulo et al. (2022), <doi:10.1037/met0000476>: network structure invariance, global strength invariance, edge invariance, and various centrality measures. Edgelists from dependent or independent samples are used as input. These edgelists are generated from concept maps and summed into two comparable group networks. The networks can be directed or undirected.

Creates 'D3' 'JavaScript' network, tree, dendrogram, and Sankey
    graphs from 'R'.

Network is a prevalent form of data structure in many fields. As an object of analysis, many distance or metric measures have been proposed to define the concept of similarity between two networks. We provide a number of distance measures for networks. See Jurman et al (2011) <doi:10.3233/978-1-60750-692-8-227> for an overview on spectral class of inter-graph distance measures.