ergm 4: New Features for Analyzing Exponential-Family Random Graph Models

Pavel N. Krivitsky, David R. Hunter, Martina Morris, Chad Klumb

Research output: Contribution to journalArticlepeer-review

32 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)1-44
Number of pages44
JournalJournal of Statistical Software
Volume105
Issue number6
DOIs
StatePublished - 2023

All Science Journal Classification (ASJC) codes

  • Software
  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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