Leifeld, Philip and Cranmer, Skyler J and Desmarais, Bruce A (2018) Temporal Exponential Random Graph Models with btergm: Estimation and Bootstrap Confidence Intervals. Journal of Statistical Software, 83 (6). DOI https://doi.org/10.18637/jss.v083.i06
Leifeld, Philip and Cranmer, Skyler J and Desmarais, Bruce A (2018) Temporal Exponential Random Graph Models with btergm: Estimation and Bootstrap Confidence Intervals. Journal of Statistical Software, 83 (6). DOI https://doi.org/10.18637/jss.v083.i06
Leifeld, Philip and Cranmer, Skyler J and Desmarais, Bruce A (2018) Temporal Exponential Random Graph Models with btergm: Estimation and Bootstrap Confidence Intervals. Journal of Statistical Software, 83 (6). DOI https://doi.org/10.18637/jss.v083.i06
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: | Article |
|---|---|
| Uncontrolled Keywords: | relational data; network analysis; temporal exponential random graph model; TERGM; xergm; btergm; R |
| Divisions: | Faculty of Social Sciences Faculty of Social Sciences > Government, Department of |
| SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
| Depositing User: | Unnamed user with email elements@essex.ac.uk |
| Date Deposited: | 08 Aug 2019 14:49 |
| Last Modified: | 30 Oct 2024 20:28 |
| URI: | http://repository.essex.ac.uk/id/eprint/25129 |
Available files
Filename: v83i06.pdf
Filename: btergm_1.9.1.tar.gz
Description: R source package
Filename: v83i06.R
Description: R replication code