Bayesian analysis for exponential random graph models using advanced computational algorithms: the approximate exchange algorithm with adaptive direction sampling (optionally adaptive, delayed-acceptance and parallel), calibrated pseudo-posteriors, Bayesian data augmentation for missing network data, and Bayesian goodness-of-fit diagnostics. More information can be found at: <https://acaimo.github.io/Bergm/>.