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.

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

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.