Description

Dynamic Mixed-Membership Network Regression Model.

Description

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>.

README.md

cran.r-project.org

NetMix

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.

Installation

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")

r-NetMix

NetMix

Installation

Version

License

Status

Source

Homepage

Platforms (75)

NetMix

Installation

Version

License

Status

Source

Homepage

Platforms75 (75)

Platforms (75)