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ergm: A Package to Fit, Simulate and Diagnose Exponential-Family Models for Networks
Open accessAbstract
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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Metadata
- Authors
- Hunter, D. R., Handcock, M. S., Butts, C. T., Goodreau, S. M., & Morris, M.
- Venue
- Journal of Statistical Software
- Publisher
- Foundation for Open Access Statistic
- Published
- 2008
- Volume
- 24
- Issue
- 3
- Pages
- nihpa54860-nihpa54860
- ISSN
- 1548-7660 (ISSN-L)
- OpenAlex
- W2145402497
- Cited by
- 1,283
- References
- 0
- FWCI
- 23.05
- Type
- journal article
- Language
- en
- Open access
- diamond
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- Hunter, D. R., Handcock, M. S., Butts, C. T., Goodreau, S. M., & Morris, M. (2008). ergm: A Package to Fit, Simulate and Diagnose Exponential-Family Models for Networks. Journal of Statistical Software. https://doi.org/10.18637/jss.v024.i03
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