TY - JOUR AU - Caimo, Alberto AU - Friel, Nial PY - 2014/10/24 Y2 - 2024/03/29 TI - Bergm: Bayesian Exponential Random Graphs in R JF - Journal of Statistical Software JA - J. Stat. Soft. VL - 61 IS - 2 SE - Articles DO - 10.18637/jss.v061.i02 UR - https://www.jstatsoft.org/index.php/jss/article/view/v061i02 SP - 1 - 25 AB - In this paper we describe the main features of the Bergm package for the open-source R software which provides a comprehensive framework for Bayesian analysis of exponential random graph models: tools for parameter estimation, model selection and goodness-of- fit diagnostics. We illustrate the capabilities of this package describing the algorithms through a tutorial analysis of three network datasets. ER -