文章基本信息

标题：ergm: A Package to Fit, Simulate and Diagnose Exponential-Family Models for Networks
本地全文：下载
作者：David R. Hunter ; Mark S. Handcock ; Carter T. Butts 等
期刊名称：Journal of Statistical Software
印刷版ISSN：1548-7660
电子版ISSN：1548-7660
出版年度：2008
卷号：24
期号：1
页码：1-29
语种：English
出版社：University of California, Los Angeles
摘要：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.