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 2019). Functions for break number detection using the approximate marginal likelihood and WAIC are also provided.

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Description file content

Package
NetworkChange
Title
Bayesian Package for Network Changepoint Analysis
Version
0.5
Date
2019-05-08 14:17:31 UTC
Author
Jong Hee Park [aut,cre], Yunkyu Sohn [aut]
Maintainer
Jong Hee Park
Depends
R (>= 2.10.0), MCMCpack, ggplot2
Imports
grid, LaplacesDemon, Rmpfr, abind, mvtnorm, tidyr, sna, igraph, qgraph, network, stats, MASS, methods, RColorBrewer, reshape, ggrepel, gridExtra, rlang, GGally, ggvis
Description
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.
License
GPL-3
NeedsCompilation
no
Packaged
2019-05-08 13:42:13 UTC; park
RoxygenNote
6.1.1
Repository
CRAN
Date/Publication
2019-05-08 14:30:03 UTC

install.packages('NetworkChange')

0.5

a month ago

Jong Hee Park

GPL-3

Depends on

R (>= 2.10.0), MCMCpack, ggplot2

Imports

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

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