NetMix: Dynamic Mixed-Membership Network Regression Model

Variational EM estimation of mixed-membership stochastic blockmodel for networks, incorporating node-level predictors of mixed-membership vectors, as well as dyad-level predictors. For networks observed over time, the model defines a hidden Markov process that allows the effects of node-level predictors to evolve in discrete, historical periods. In addition, the package offers a variety of utilities for exploring results of estimation, including tools for conducting posterior predictive checks of goodness-of-fit and several plotting functions. The package implements methods described in Olivella, Pratt and Imai (2019) ”Dynamic Stochastic Blockmodel Regression for Social Networks: Application to International Conflicts”, available at <http://santiagoolivella.info/wp-content/uploads/2018/07/dSBM_Reg.pdf>.

Version: 0.1.4
Depends: R (≥ 3.1.0)
Imports: clue (≥ 0.3-54), graphics (≥ 3.5.2), grDevices (≥ 3.5.2), gtools (≥ 3.8.1), igraph (≥ 1.2.4.1), lda (≥ 1.4.2), Matrix (≥ 1.2-15), methods (≥ 3.5.2), Rcpp (≥ 0.12.13), RSpectra (≥ 0.14-0), stats (≥ 3.5.2), utils (≥ 3.5.2)
LinkingTo: Rcpp
Suggests: doParallel (≥ 1.0.14), ergm (≥ 3.9.4), foreach (≥ 1.4.4), ggplot2 (≥ 3.1.1), network (≥ 1.13)
Published: 2019-07-26
Author: Kosuke Imai [aut, cre], Tyler Pratt [aut, cre], Adeline Lo [aut, cre], Santiago Olivella [aut, cre]
Maintainer: Santiago Olivella <olivella at unc.edu>
BugReports: https://github.com/solivella/NetMix/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
SystemRequirements: C++11
Materials: README
CRAN checks: NetMix results

Downloads:

Reference manual: NetMix.pdf
Package source: NetMix_0.1.4.tar.gz
Windows binaries: r-devel: NetMix_0.1.4.zip, r-devel-gcc8: NetMix_0.1.4.zip, r-release: NetMix_0.1.4.zip, r-oldrel: NetMix_0.1.4.zip
OS X binaries: r-release: NetMix_0.1.4.tgz, r-oldrel: NetMix_0.1.4.tgz

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