References in zbMATH (referenced in 33 articles , 1 standard article )

Showing results 1 to 20 of 33.
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  1. Victor Freguglia, Nancy Lopes Garcia: Inference Tools for Markov Random Fields on Lattices: The R Package mrf2d (2022) not zbMATH
  2. Alberto Caimo, Lampros Bouranis, Robert Krause, Nial Friel: Statistical Network Analysis with Bergm (2021) arXiv
  3. Matteo Magnani, Luca Rossi, Obaida Hanteer, Davide Vega: Analysis of Multiplex Social Networks with R (2021) not zbMATH
  4. J. Antonio Rivero Ostoic: Algebraic Analysis of Multiple Social Networks with multiplex (2020) not zbMATH
  5. Modesto Escobar, Luis Martinez-Uribe: Network Coincidence Analysis: The netCoin R Package (2020) not zbMATH
  6. Xu Dong, Luis Castro, Nazrul Shaikh: fastnet: An R Package for Fast Simulation and Analysis of Large-Scale Social Networks (2020) not zbMATH
  7. Julien Chiquet, Pierre Barbillon, Timothée Tabouy: missSBM: An R Package for Handling Missing Values in the Stochastic Block Model (2019) arXiv
  8. Li, Zehang Richard; McCormick, Tyler H.: An expectation conditional maximization approach for Gaussian graphical models (2019)
  9. Smith, Anna L.; Asta, Dena M.; Calder, Catherine A.: The geometry of continuous latent space models for network data (2019)
  10. Chris Groendyke; David Welch: epinet: An R Package to Analyze Epidemics Spread across Contact Networks (2018) not zbMATH
  11. Mair, Patrick: Modern psychometrics with R (2018)
  12. Michael Schweinberger; Pamela Luna: hergm: Hierarchical Exponential-Family Random Graph Models (2018) not zbMATH
  13. Philip Leifeld; Skyler Cranmer; Bruce Desmarais: Temporal Exponential Random Graph Models with btergm: Estimation and Bootstrap Confidence Intervals (2018) not zbMATH
  14. Samuel Jenness; Steven Goodreau; Martina Morris: EpiModel: An R Package for Mathematical Modeling of Infectious Disease over Networks (2018) not zbMATH
  15. Baumer, Benjamin S.; Kaplan, Daniel T.; Horton, Nicholas J.: Modern data science with R (2017)
  16. Bryon Aragam, Jiaying Gu, Qing Zhou: Learning Large-Scale Bayesian Networks with the sparsebn Package (2017) arXiv
  17. Deisy Morselli Gysi, Andre Voigt, Tiago de Miranda Fragoso, Eivind Almaas, Katja Nowick: wTO: an R package for computing weighted topological overlap and consensus networks with an integrated visualization tool (2017) arXiv
  18. Luke, Douglas A.: A user’s guide to network analysis in R (2015)
  19. Alberto Caimo; Nial Friel: Bergm: Bayesian Exponential Random Graphs in R (2014) not zbMATH
  20. 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

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