Leifeld, P., Cranmer, S. J. and Desmarais, B. A. (2018) Temporal exponential random graph models with btergm: estimation and bootstrap confidence intervals. Journal of Statistical Software, 83(6), (doi: 10.18637/jss.v083.i06)
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Abstract
The xergm package is an implementation of extensions to the exponential random graph model (ERGM). It acts as a meta-package for multiple constituent packages. One of these packages is btergm, which implements bootstrap methods for the temporal ERGM estimated by maximum pseudolikelihood. Here, we illustrate the temporal exponential random graph model and its implementation in the package btergm using data on international alliances and a longitudinally observed friendship network in a Dutch school.
| Item Type: | Articles |
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| Additional Information: | The Zukunftskolleg at the University of Konstanz provided research funding for the first author. SJC gratefully acknowledges the support of the National Science Foundation (SES-1357622, SES-1461493, and SES-1514750) and the Alexander von Humboldt Foundation. BD acknowledges that this work was supported in part by National Science Foundation grants SES-1558661, SES-1619644, SES-1637089, and CISE-1320219. |
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Leifeld, Professor Philip |
| Authors: | Leifeld, P., Cranmer, S. J., and Desmarais, B. A. |
| College/School: | College of Social Sciences > School of Social and Political Sciences |
| Journal Name: | Journal of Statistical Software |
| Publisher: | Foundation for Open Access Statistics |
| ISSN: | 1548-7660 |
| ISSN (Online): | 1548-7660 |
| First Published: | First published in Journal of Statistical Software 83(6) |
| Publisher Policy: | Reproduced under a Creative Commons License |
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