ergm 4: New Features for Analyzing Exponential-Family Random Graph Models
Dublin Core
Title
ergm 4: New Features for Analyzing Exponential-Family Random Graph Models
Subject
: statnet, ERGM, exponential-family random graph models, valued networks.
Description
The ergm package supports the statistical analysis and simulation of network data. It
anchors the statnet suite of packages for network analysis in R introduced in a special issue
in Journal of Statistical Software in 2008. This article provides an overview of the new
functionality in the 2021 release of ergm version 4. These include more flexible handling of
nodal covariates, term operators that extend and simplify model specification, new models
for networks with valued edges, improved handling of constraints on the sample space of
networks, and estimation with missing edge data. We also identify the new packages in the
statnet suite that extend ergm’s functionality to other network data types and structural
features and the robust set of online resources that support the statnet development
process and applications.
anchors the statnet suite of packages for network analysis in R introduced in a special issue
in Journal of Statistical Software in 2008. This article provides an overview of the new
functionality in the 2021 release of ergm version 4. These include more flexible handling of
nodal covariates, term operators that extend and simplify model specification, new models
for networks with valued edges, improved handling of constraints on the sample space of
networks, and estimation with missing edge data. We also identify the new packages in the
statnet suite that extend ergm’s functionality to other network data types and structural
features and the robust set of online resources that support the statnet development
process and applications.
Creator
Pavel N. Krivitsky
Source
https://www.jstatsoft.org/article/view/v105i06
Publisher
University of New South Wales
Date
January 2023
Contributor
Fajar bagus W
Format
PDF
Language
English
Type
Text
Files
Collection
Citation
Pavel N. Krivitsky, “ergm 4: New Features for Analyzing Exponential-Family Random Graph Models,” Repository Horizon University Indonesia, accessed April 4, 2025, https://repository.horizon.ac.id/items/show/8287.