TY - JOUR
AU - Hunter, David R.
AU - Handcock, Mark S.
AU - Butts, Carter T.
AU - Goodreau, Steven M.
AU - Morris, Martina
PY - 2008/05/05
Y2 - 2024/11/03
TI - ergm: A Package to Fit, Simulate and Diagnose Exponential-Family Models for Networks
JF - Journal of Statistical Software
JA - J. Stat. Soft.
VL - 24
IS - 3
SE - Articles
DO - 10.18637/jss.v024.i03
UR - https://www.jstatsoft.org/index.php/jss/article/view/v024i03
SP - 1 - 29
AB - We describe some of the capabilities of the ergm package and the statistical theory underlying it. This package contains tools for accomplishing three important, and inter-related, tasks involving exponential-family random graph models (ERGMs): estimation, simulation, and goodness of fit. More precisely, ergm has the capability of approximating a maximum likelihood estimator for an ERGM given a network data set; simulating new network data sets from a fitted ERGM using Markov chain Monte Carlo; and assessing how well a fitted ERGM does at capturing characteristics of a particular network data set.
ER -