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NetMix
View on CRAN: Click
here
Download and install NetMix package within the R console
Install from CRAN:
install.packages("NetMix")
Install from Github:
library("remotes")
install_github("cran/NetMix") Install by package version:
library("remotes")
install_version("NetMix", "0.2.0.3") Attach the package and use:
library("NetMix")
Maintained by
Santiago Olivella
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-07-26
Latest Update: 2025-06-05
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 .
How to cite:
Santiago Olivella (2019). NetMix: Dynamic Mixed-Membership Network Regression Model. R package version 0.2.0.3, https://cran.r-project.org/web/packages/NetMix. Accessed 07 Oct. 2026.
Previous versions and publish date:
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Other R packages that NetMix depends,
imports, suggests or enhances
Complete documentation for NetMix
Functions, R codes and Examples using
the NetMix R package
Some associated functions: auxfuns . coef.mmsbm . covFX . gof . head.mmsbm . lazega_dyadic . lazega_monadic . mmsbm . mmsbm_fit . plot.mmsbm . predict.mmsbm . simulate.mmsbm . summary.mmsbm . vcov.mmsbm .
Some associated R codes: RcppExports.R . auxfuns.R . coef.mmsbm.R . covFX.R . data.R . gof.mmsbm.R . head.mmsbm.R . mmsbm.R . plot.mmsbm.R . predict.mmsbm.R . simulate.mmsbm.R . summary.mmsbm.R . vcov.mmsbm.R . Full NetMix package functions and examples
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