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

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

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 il...

Full description

Bibliographic Details
Main Authors: Philip Leifeld, Skyler J. Cranmer, Bruce A. Desmarais
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2018-02-01
Series:Journal of Statistical Software
Subjects:
relational data
network analysis
temporal exponential random graph model
TERGM
xergm
btergm
R
Online Access:https://www.jstatsoft.org/index.php/jss/article/view/3382

Internet

https://www.jstatsoft.org/index.php/jss/article/view/3382

Similar Items