Bayesian Package for Network Changepoint Analysis R package NetworkChange version 1.1.0 CRAN Task View: Bayesian (https://CRAN.R-project.org/view=Bayesian) 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. Software Depends: R (>= 3.5.0), MCMCpack, ggplot2 Imports: Rcpp (>= 1.0.0), Rmpfr, abind, mvtnorm, tidyr, igraph, qgraph, network, stats, MASS, methods, RColorBrewer, ggrepel, rlang, GGally, patchwork, viridis LinkingTo: Rcpp, RcppArmadillo Suggests: sna, lifecycle Jong Hee Park <jongheepark@snu.ac.kr> Comprehensive R Archive Network (CRAN) Jong Hee Park [aut, cre], Yunkyu Sohn [aut] GPL-3 2026-04-07 application/tgz https://CRAN.R-project.org/package=NetworkChange doi:10.32614/CRAN.package.NetworkChange