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CRAN: Package NetMix

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: 0.2.0.3 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: 2025-06-05 DOI: 10.32614/CRAN.package.NetMix Author: Santiago Olivella [aut, cre], Adeline Lo [aut], Tyler Pratt [aut], Kosuke Imai [ctb] 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: Downloads: Linking:

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