Package: NetMix 0.2.0.2

NetMix: Dynamic Mixed-Membership Network Regression Model

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>.

Authors:Santiago Olivella [aut, cre], Adeline Lo [aut, cre], Tyler Pratt [aut, cre], Kosuke Imai [aut, cre]

NetMix_0.2.0.2.tar.gz
NetMix_0.2.0.2.zip(r-4.5)NetMix_0.2.0.2.zip(r-4.4)NetMix_0.2.0.2.zip(r-4.3)
NetMix_0.2.0.2.tgz(r-4.4-x86_64)NetMix_0.2.0.2.tgz(r-4.4-arm64)NetMix_0.2.0.2.tgz(r-4.3-x86_64)NetMix_0.2.0.2.tgz(r-4.3-arm64)
NetMix_0.2.0.2.tar.gz(r-4.5-noble)NetMix_0.2.0.2.tar.gz(r-4.4-noble)
NetMix_0.2.0.2.tgz(r-4.4-emscripten)NetMix_0.2.0.2.tgz(r-4.3-emscripten)
NetMix.pdf |NetMix.html
NetMix/json (API)
NEWS

# Install 'NetMix' in R:
install.packages('NetMix', repos = c('https://solivella.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/solivella/netmix/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • lazega_dyadic - Dyadic predictors in the Lazega friendship network (Lazega 2001).
  • lazega_monadic - Monadic predictors in the Lazega friendship network (Lazega 2001).

On CRAN:

4.11 score 10 stars 26 scripts 185 downloads 16 exports 19 dependencies

Last updated 11 months agofrom:627b94ab50. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 24 2024
R-4.5-win-x86_64OKOct 24 2024
R-4.5-linux-x86_64OKOct 24 2024
R-4.4-win-x86_64OKOct 24 2024
R-4.4-mac-x86_64OKOct 24 2024
R-4.4-mac-aarch64OKOct 24 2024
R-4.3-win-x86_64OKOct 24 2024
R-4.3-mac-x86_64OKOct 24 2024
R-4.3-mac-aarch64OKOct 24 2024

Exports:alphaGradalphaLBoundapproxBcoef.mmsbmcovFXgetZgofgof.mmsbmhead.mmsbmmmsbmmmsbm_fitplot.mmsbmpredict.mmsbmsimulate.mmsbmsummary.mmsbmvcov.mmsbm

Dependencies:cliclueclustercpp11gluegtoolsigraphlatticeldalifecyclemagrittrMASSMatrixpkgconfigpoisbinomRcppRcppArmadillorlangvctrs