Research Repository

Temporal Exponential Random Graph Models with btergm: Estimation and Bootstrap Confidence Intervals

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). ISSN 1548-7660

[img]
Preview
Text
v83i06.pdf - Published Version

Download (964kB) | Preview
[img] Archive (R source package)
btergm_1.9.1.tar.gz - Supplemental Material

Download (58kB)
[img] Text (R replication code)
v83i06.R - Supplemental Material

Download (9kB)

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
Divisions: Faculty of Social Sciences > Government, Department of
Depositing User: Elements
Date Deposited: 08 Aug 2019 14:49
Last Modified: 08 Aug 2019 14:49
URI: http://repository.essex.ac.uk/id/eprint/25129

Actions (login required)

View Item View Item