Bayesian Package for Network Changepoint Analysis

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. Version 1.1.0 includes high-performance C++ implementations via 'Rcpp'/'RcppArmadillo' for 5-15x faster MCMC sampling, along with modern 'ggplot2'-based visualizations with colorblind-friendly palettes.


Reference manual

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install.packages("NetworkChange")

1.1.0 by Jong Hee Park, 7 months ago


Browse source code at https://github.com/cran/NetworkChange


Authors: Jong Hee Park [aut, cre] , Yunkyu Sohn [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports Rcpp, Rmpfr, abind, mvtnorm, tidyr, igraph, qgraph, network, stats, MASS, methods, RColorBrewer, ggrepel, rlang, GGally, patchwork, viridis

Depends on MCMCpack, ggplot2

Suggests sna, lifecycle

Linking to Rcpp, RcppArmadillo


See at CRAN