statnet

R package statnet: Software tools for the Statistical Analysis of Network Data. An integrated set of tools for the representation, visualization, analysis, and simulation of network data. For an introduction, type help(package=’statnet’)


References in zbMATH (referenced in 35 articles )

Showing results 1 to 20 of 35.
Sorted by year (citations)

1 2 next

  1. Chris Groendyke; David Welch: epinet: An R Package to Analyze Epidemics Spread across Contact Networks (2018)
  2. McLaughlin, Katherine R.; EmBree, Joshua D.: Empirical assessment of programs to promote collaboration: a network model approach (2018)
  3. Michael Schweinberger; Pamela Luna: hergm: Hierarchical Exponential-Family Random Graph Models (2018)
  4. Nath, Madhurima; Ren, Yihui; Khorramzadeh, Yasamin; Eubank, Stephen: Determining whether a class of random graphs is consistent with an observed contact network (2018)
  5. Philip Leifeld; Skyler Cranmer; Bruce Desmarais: Temporal Exponential Random Graph Models with btergm: Estimation and Bootstrap Confidence Intervals (2018)
  6. Samuel Jenness; Steven Goodreau; Martina Morris: EpiModel: An R Package for Mathematical Modeling of Infectious Disease over Networks (2018)
  7. Byshkin, Maksym; Stivala, Alex; Mira, Antonietta; Krause, Rolf; Robins, Garry; Lomi, Alessandro: Auxiliary parameter MCMC for exponential random graph models (2016)
  8. Xiong, Hanchen; Szedmak, Sandor; Piater, Justus: Learning undirected graphical models using persistent sequential Monte Carlo (2016)
  9. Caimo, Alberto; Mira, Antonietta: Efficient computational strategies for doubly intractable problems with applications to Bayesian social networks (2015)
  10. Krivitsky, Pavel N.; Kolaczyk, Eric D.: On the question of effective sample size in network modeling: an asymptotic inquiry (2015)
  11. Ömer Yaveroğlu; Sean Fitzhugh; Maciej Kurant; Athina Markopoulou; Carter Butts; Nataša Pržulj: ergm.graphlets: A Package for ERG Modeling Based on Graphlet Statistics (2015)
  12. Alberto Caimo; Nial Friel: Bergm: Bayesian Exponential Random Graphs in R (2014)
  13. Handcock, Mark S.; Gile, Krista J.; Mar, Corinne M.: Estimating hidden population size using respondent-driven sampling data (2014)
  14. 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
  15. David Hunter; Steven Goodreau; Mark Handcock: ergm.userterms: A Template Package for Extending statnet (2013)
  16. Ledolter, Johannes: Data mining and business analytics with R (2013)
  17. Lerner, Jürgen; Indlekofer, Natalie; Nick, Bobo; Brandes, Ulrik: Conditional independence in dynamic networks (2013)
  18. Miha Štajdohar; Janez Demšar: Interactive Network Exploration with Orange (2013)
  19. Pattison, Philippa E.; Robins, Garry L.; Snijders, Tom A. B.; Wang, Peng: Conditional estimation of exponential random graph models from snowball sampling designs (2013)
  20. Shalizi, Cosma Rohilla; Rinaldo, Alessandro: Consistency under sampling of exponential random graph models (2013)

1 2 next