NetworkChange

Bayesian Package for Network Changepoint Analysis

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.

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Description file content

Package
NetworkChange
Title
Bayesian Package for Network Changepoint Analysis
Version
0.4
Date
2018-10-09 14:17:31 UTC
Author
Jong Hee Park [aut,cre], Yunkyu Sohn [aut]
Maintainer
Jong Hee Park
Depends
R (>= 2.10.0), MCMCpack, ggplot2, ggvis
Imports
grid, LaplacesDemon, Rmpfr, abind, mvtnorm, tidyr, stats, MASS, methods, RColorBrewer, plyr
Description
Network changepoint analysis for undirected network data. The package implements a hidden Markov multilinear tensor regression model (Park and Sohn, 2017, ). Functions for break number detection using the approximate marginal likelihood and WAIC are also provided.
License
GPL-3
NeedsCompilation
no
Packaged
2018-10-10 00:31:06 UTC; park
RoxygenNote
6.0.1
Repository
CRAN
Date/Publication
2018-10-10 04:10:03 UTC

install.packages('NetworkChange')

0.4

2 months ago

Jong Hee Park

GPL-3

Depends on

R (>= 2.10.0), MCMCpack, ggplot2, ggvis

Imports

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

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