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.
| Version: | 1.1.0 |
| 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 |
| Published: | 2026-04-07 |
| DOI: | 10.32614/CRAN.package.NetworkChange |
| Author: | Jong Hee Park [aut, cre], Yunkyu Sohn [aut] |
| Maintainer: | Jong Hee Park <jongheepark at snu.ac.kr> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| In views: | Bayesian |
| CRAN checks: | NetworkChange results |
| Reference manual: | NetworkChange.html , NetworkChange.pdf |
| Package source: | NetworkChange_1.1.0.tar.gz |
| Windows binaries: | r-devel: NetworkChange_1.1.0.zip, r-release: NetworkChange_1.1.0.zip, r-oldrel: NetworkChange_1.1.0.zip |
| macOS binaries: | r-release (arm64): NetworkChange_1.1.0.tgz, r-oldrel (arm64): NetworkChange_1.1.0.tgz, r-release (x86_64): NetworkChange_1.1.0.tgz, r-oldrel (x86_64): NetworkChange_1.1.0.tgz |
| Old sources: | NetworkChange archive |
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