Package: NetworkChange
Title: Bayesian Package for Network Changepoint Analysis
Version: 1.1.0
Date: 2026-04-07
Authors@R: c(person(given = c("Jong", "Hee"),
                    family = "Park",
                    role = c("aut", "cre"),
                    email = "jongheepark@snu.ac.kr"),
             person(given = "Yunkyu",
                    family = "Sohn",
                    role = "aut"))
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
Description: 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.
License: GPL-3
NeedsCompilation: yes
RoxygenNote: 7.3.3
Encoding: UTF-8
Suggests: sna, lifecycle
Packaged: 2026-04-07 05:54:07 UTC; jongheepark
Author: Jong Hee Park [aut, cre],
  Yunkyu Sohn [aut]
Maintainer: Jong Hee Park <jongheepark@snu.ac.kr>
Repository: CRAN
Date/Publication: 2026-04-07 06:20:02 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-25 13:47:40 UTC; unix
Archs: NetworkChange.so.dSYM
