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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.0.3 |
rolling linux/jammy R-4.5 | NetMix_0.2.0.3.tar.gz |
262.0 KiB |
0.2.0.3 |
rolling linux/noble R-4.5 | NetMix_0.2.0.3.tar.gz |
266.0 KiB |
0.2.0.3 |
rolling source/ R- | NetMix_0.2.0.3.tar.gz |
55.1 KiB |
0.2.0.3 |
latest linux/jammy R-4.5 | NetMix_0.2.0.3.tar.gz |
262.0 KiB |
0.2.0.3 |
latest linux/noble R-4.5 | NetMix_0.2.0.3.tar.gz |
266.0 KiB |
0.2.0.3 |
latest source/ R- | NetMix_0.2.0.3.tar.gz |
55.1 KiB |
0.2.0.3 |
2026-04-26 source/ R- | NetMix_0.2.0.3.tar.gz |
55.1 KiB |
0.2.0.3 |
2026-04-23 source/ R- | NetMix_0.2.0.3.tar.gz |
55.1 KiB |
0.2.0.3 |
2026-04-09 windows/windows R-4.5 | NetMix_0.2.0.3.zip |
583.3 KiB |
0.2.0.2 |
2025-04-20 source/ R- | NetMix_0.2.0.2.tar.gz |
54.5 KiB |