ergm

R package ergm: Fit, Simulate and Diagnose Exponential-Family Models for Networks. An integrated set of tools to analyze and simulate networks based on exponential-family random graph models (ERGM). ”ergm” is a part of the ”statnet” suite of packages for network analysis.


References in zbMATH (referenced in 27 articles )

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  1. Chris Groendyke; David Welch: epinet: An R Package to Analyze Epidemics Spread across Contact Networks (2018)
  2. DeMuse, Ryan; Larcomb, Danielle; Yin, Mei: Phase transitions in edge-weighted exponential random graphs: near-degeneracy and universality (2018)
  3. Durante, Daniele; Dunson, David B.: Bayesian inference and testing of group differences in brain networks (2018)
  4. Huang, Danyang; Guan, Guoyu; Zhou, Jing; Wang, Hansheng: Network-based naive Bayes model for social network (2018)
  5. Michael Schweinberger; Pamela Luna: hergm: Hierarchical Exponential-Family Random Graph Models (2018)
  6. Nath, Madhurima; Ren, Yihui; Khorramzadeh, Yasamin; Eubank, Stephen: Determining whether a class of random graphs is consistent with an observed contact network (2018)
  7. Philip Leifeld; Skyler Cranmer; Bruce Desmarais: Temporal Exponential Random Graph Models with btergm: Estimation and Bootstrap Confidence Intervals (2018)
  8. Samuel Jenness; Steven Goodreau; Martina Morris: EpiModel: An R Package for Mathematical Modeling of Infectious Disease over Networks (2018)
  9. Zhou, Jing; Huang, DanYang; Wang, HanSheng: A dynamic logistic regression for network link prediction (2017)
  10. Byshkin, Maksym; Stivala, Alex; Mira, Antonietta; Krause, Rolf; Robins, Garry; Lomi, Alessandro: Auxiliary parameter MCMC for exponential random graph models (2016)
  11. Caimo, Alberto; Mira, Antonietta: Efficient computational strategies for doubly intractable problems with applications to Bayesian social networks (2015)
  12. James D. Wilson, Matthew J. Denny, Shankar Bhamidi, Skyler Cranmer, Bruce Desmarais: Stochastic Weighted Graphs: Flexible Model Specification and Simulation (2015) arXiv
  13. Krivitsky, Pavel N.; Kolaczyk, Eric D.: On the question of effective sample size in network modeling: an asymptotic inquiry (2015)
  14. Luke, Douglas A.: A user’s guide to network analysis in R (2015)
  15. Ömer Yaveroğlu; Sean Fitzhugh; Maciej Kurant; Athina Markopoulou; Carter Butts; Nataša Pržulj: ergm.graphlets: A Package for ERG Modeling Based on Graphlet Statistics (2015)
  16. Alberto Caimo; Nial Friel: Bergm: Bayesian Exponential Random Graphs in R (2014)
  17. Omer Nebil Yaveroglu, Sean M. Fitzhugh, Maciej Kurant, Athina Markopoulou, Carter T. Butts, Natasa Przulj: ergm.graphlets: A Package for ERG Modeling Based on Graphlet Statistics (2014) arXiv
  18. David Hunter; Steven Goodreau; Mark Handcock: ergm.userterms: A Template Package for Extending statnet (2013)
  19. Geyer, Charles J.; Ridley, Caroline E.; Latta, Robert G.; Etterson, Julie R.; Shaw, Ruth G.: Local adaptation and genetic effects on fitness: Calculations for exponential family models with random effects (2013)
  20. Lerner, Jürgen; Indlekofer, Natalie; Nick, Bobo; Brandes, Ulrik: Conditional independence in dynamic networks (2013)

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