NetworkChange
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.0 |
rolling linux/jammy R-4.5 | NetworkChange_1.1.0.tar.gz |
1.2 MiB |
1.1.0 |
rolling linux/noble R-4.5 | NetworkChange_1.1.0.tar.gz |
1.2 MiB |
1.1.0 |
rolling source/ R- | NetworkChange_1.1.0.tar.gz |
922.1 KiB |
1.1.0 |
latest linux/jammy R-4.5 | NetworkChange_1.1.0.tar.gz |
1.2 MiB |
1.1.0 |
latest linux/noble R-4.5 | NetworkChange_1.1.0.tar.gz |
1.2 MiB |
1.1.0 |
latest source/ R- | NetworkChange_1.1.0.tar.gz |
922.1 KiB |
1.1.0 |
2026-04-26 source/ R- | NetworkChange_1.1.0.tar.gz |
922.1 KiB |
1.1.0 |
2026-04-23 source/ R- | NetworkChange_1.1.0.tar.gz |
922.1 KiB |
1.1.0 |
2026-04-09 windows/windows R-4.5 | NetworkChange_1.1.0.zip |
1.6 MiB |
0.8 |
2025-04-20 source/ R- | NetworkChange_0.8.tar.gz |
715.5 KiB |