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.
| Version: | 0.3 |
| Depends: | R (≥ 2.10.0) |
| Imports: | ggplot2, Rmpfr, abind, mvtnorm, grid, LaplacesDemon, MCMCpack, stats, MASS, methods, RColorBrewer, ggvis |
| Published: | 2017-08-19 |
| Author: | Jong Hee Park [aut,cre], Yunkyu Sohn [aut] |
| Maintainer: | Jong Hee Park <jongheepark at snu.ac.kr> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| In views: | Bayesian |
| CRAN checks: | NetworkChange results |
| Reference manual: | NetworkChange.pdf |
| Package source: | NetworkChange_0.3.tar.gz |
| Windows binaries: | r-devel: NetworkChange_0.3.zip, r-release: NetworkChange_0.3.zip, r-oldrel: NetworkChange_0.3.zip |
| OS X binaries: | r-release: NetworkChange_0.3.tgz, r-oldrel: NetworkChange_0.3.tgz |
| Old sources: | NetworkChange archive |
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