NetMix: Dynamic Mixed-Membership Network Regression Model
Stochastic collapsed variational inference on 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 <https://www.santiagoolivella.info/pdfs/socnet.pdf>.
| Version: |
0.2.0.2 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
clue (≥ 0.3-58), 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), MASS (≥ 7.3-51.4), methods (≥ 3.5.2), poisbinom (≥ 1.0.1), Rcpp (≥ 1.0.2), stats (≥ 3.5.2), utils (≥ 3.5.2) |
| LinkingTo: |
Rcpp, RcppArmadillo |
| Suggests: |
ergm (≥ 3.9.4), ggplot2 (≥ 3.1.1), network (≥ 1.13), scales (≥ 1.0.0) |
| Published: |
2023-12-13 |
| DOI: |
10.32614/CRAN.package.NetMix |
| Author: |
Santiago Olivella [aut, cre],
Adeline Lo [aut, cre],
Tyler Pratt [aut, cre],
Kosuke Imai [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 |
| Materials: |
README NEWS |
| CRAN checks: |
NetMix results |
Documentation:
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