ergm : A Package to Fit, Simulate and Diagnose Exponential-Family Models for Networks
University of Washington · University of California, Irvine
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Abstract
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 interrelated, 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.
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Authors
5Topics & keywords
Topics
Keywords
- Markov chain Monte Carlo
- Exponential random graph models
- Estimator
- R package
- Computer science
- Set (abstract data type)
- Markov chain
- Exponential family
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