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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.
To install the latest CRAN version, copy and paste the following in a running R console: install.packages("NetMix").
For the latest development version, copy and paste the following (assuming you have the remotes package installed): remotes::install_github("solivella/NetMix")
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.