Network analysis refers to the utilization of graph theory
for the analysis of a range of different types of connectivity
data. The set of objects contained in this package will be
particularly useful for the analysis of groups of networks in
neuroimaging, where several populations of subject-specific
networks are available. Future versions will include the
derivation of SPNs (statistical parametric networks). This
revised version of the package now includes C++ codes, which
permit to speed up the computational cost of the main
cost-integration routines.

Bayesian Package for Network Changepoint Analysis
ggplot2, Rmpfr, abind, mvtnorm, grid, LaplacesDemon, MCMCpack,
stats, MASS, methods, RColorBrewer
Network changepoint analysis for undirected network data. The package implements a hidden Markov multilinear tenstor regression model (Park and Sohn, 2017, <http://jhp.snu.ac.kr/NetworkChange.pdf>). Functions for break number detection using the approximate marginal likelihood and WAIC are also provided.

Jong Hee Park [aut,cre], Yunkyu Sohn [aut]
ggplot2, Rmpfr, abind, mvtnorm, grid, LaplacesDemon, MCMCpack,
stats, MASS, methods, RColorBrewer, ggvis
Network changepoint analysis for undirected network data. The package implements a hidden Markov multilinear tensor regression model (Park and Sohn, 2017, <http://jhp.snu.ac.kr/NetworkChange.pdf>). Functions for break number detection using the approximate marginal likelihood and WAIC are also provided.

grid, LaplacesDemon, Rmpfr, abind, mvtnorm, tidyr, stats,
MASS, methods, RColorBrewer, plyr

grid, LaplacesDemon, Rmpfr, abind, mvtnorm, tidyr, sna,
igraph, qgraph, network, stats, MASS, methods, RColorBrewer,
reshape, ggrepel, gridExtra, rlang, GGally, ggvis
Network changepoint analysis for undirected network data. The package implements a hidden Markov network change point model (Park and Sohn 2019). Functions for break number detection using the approximate marginal likelihood and WAIC are also provided.

grid, Rmpfr, abind, mvtnorm, tidyr, sna, igraph, qgraph,
network, stats, MASS, methods, RColorBrewer, reshape, ggrepel,
gridExtra, rlang, GGally, ggvis