btergm

R package btergm: Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood. Temporal Exponential Random Graph Models (TERGM) estimated by maximum pseudolikelihood with bootstrapped confidence intervals or Markov Chain Monte Carlo maximum likelihood. Goodness of fit assessment for ERGMs, TERGMs, and SAOMs. Micro-level interpretation of ERGMs and TERGMs.

Keywords for this software

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References in zbMATH (referenced in 4 articles , 1 standard article )

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  1. Battaglini, M., Leone Sciabolazza, V., Patacchini, E., Peng, S: econet: An R Package for Parameter-Dependent Network Centrality Measures (2022) not zbMATH
  2. Alberto Caimo, Lampros Bouranis, Robert Krause, Nial Friel: Statistical Network Analysis with Bergm (2021) arXiv
  3. Philip Leifeld; Skyler Cranmer; Bruce Desmarais: Temporal Exponential Random Graph Models with btergm: Estimation and Bootstrap Confidence Intervals (2018) not zbMATH
  4. Philip Leifeld: texreg: Conversion of Statistical Model Output in R to LATEX and HTML Tables (2013) not zbMATH