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NetMix  

Dynamic Mixed-Membership Network Regression Model
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", "0.2.0.2")



Attach the package and use:
library("NetMix")
Maintained by
Santiago Olivella
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-07-26
Latest Update: 2022-11-16
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 0.2.0.2, https://cran.r-project.org/web/packages/NetMix
Previous versions and publish date:
0.1.4 (2019-07-26 11:10), 0.1.5 (2020-01-14 22:10), 0.2.0.1 (2022-11-16 17:34), 0.2.0 (2021-03-01 18:40)
Other packages that cited NetMix R package
View NetMix citation profile
Other R packages that NetMix depends, imports, suggests or enhances
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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