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.
Tests Vignettes
Available Snapshots
This version of btergm can be found in the following snapshots: