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README.md
In NetMix: Dynamic Mixed-Membership Network Regression Model
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")
Try the NetMix package in your browser
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NetMix documentation built on Nov. 16, 2022, 5:15 p.m.
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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")
Try the NetMix package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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