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 48 articles , 1 standard article )

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  1. Caimo, Alberto; Gollini, Isabella: A multilayer exponential random graph modelling approach for weighted networks (2020)
  2. J. Antonio Rivero Ostoic: Algebraic Analysis of Multiple Social Networks with multiplex (2020) not zbMATH
  3. Su, Lin; Lu, Wenbin; Song, Rui; Huang, Danyang: Testing and estimation of social network dependence with time to event data (2020)
  4. Waleed Almutiry, Vineetha Warriyar K V, Rob Deardon: Continuous Time Individual-Level Models of Infectious Disease: a Package EpiILMCT (2020) arXiv
  5. Bauer, Verena; Fürlinger, Karl; Kauermann, Göran: A note on parallel sampling in Markov graphs (2019)
  6. Julien Chiquet, Pierre Barbillon, Timothée Tabouy: missSBM: An R Package for Handling Missing Values in the Stochastic Block Model (2019) arXiv
  7. Lyubchich, Vyacheslav; Woodland, Ryan J.: Using isotope composition and other node attributes to predict edges in fish trophic networks (2019)
  8. Bouranis, Lampros; Friel, Nial; Maire, Florian: Model comparison for Gibbs random fields using noisy reversible jump Markov chain Monte Carlo (2018)
  9. Chris Groendyke; David Welch: epinet: An R Package to Analyze Epidemics Spread across Contact Networks (2018) not zbMATH
  10. DeMuse, Ryan; Larcomb, Danielle; Yin, Mei: Phase transitions in edge-weighted exponential random graphs: near-degeneracy and universality (2018)
  11. Durante, Daniele; Dunson, David B.: Bayesian inference and testing of group differences in brain networks (2018)
  12. Griffin, Maryclare; Gile, Krista J.; Fredricksen-Goldsen, Karen I.; Handcock, Mark S.; Erosheva, Elena A.: A simulation-based framework for assessing the feasibility of respondent-driven sampling for estimating characteristics in populations of lesbian, gay and bisexual older adults (2018)
  13. Huang, Danyang; Guan, Guoyu; Zhou, Jing; Wang, Hansheng: Network-based naive Bayes model for social network (2018)
  14. Jiang, Bai; Wu, Tung-Yu; Jin, Yifan; Wong, Wing H.: Convergence of contrastive divergence algorithm in exponential family (2018)
  15. Michael Schweinberger; Pamela Luna: hergm: Hierarchical Exponential-Family Random Graph Models (2018) not zbMATH
  16. Nath, Madhurima; Ren, Yihui; Khorramzadeh, Yasamin; Eubank, Stephen: Determining whether a class of random graphs is consistent with an observed contact network (2018)
  17. Park, Jaewoo; Haran, Murali: Bayesian inference in the presence of intractable normalizing functions (2018)
  18. Philip Leifeld; Skyler Cranmer; Bruce Desmarais: Temporal Exponential Random Graph Models with btergm: Estimation and Bootstrap Confidence Intervals (2018) not zbMATH
  19. Samuel Jenness; Steven Goodreau; Martina Morris: EpiModel: An R Package for Mathematical Modeling of Infectious Disease over Networks (2018) not zbMATH
  20. Kolaczyk, Eric D.: Topics at the frontier of statistics and network analysis. (Re)Visiting the foundations (2017)

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