ergm 4: New Features for Analyzing Exponential-Family Random Graph Models
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 relea...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Foundation for Open Access Statistics
2023-01-01
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| Series: | Journal of Statistical Software |
| Online Access: | https://www.jstatsoft.org/index.php/jss/article/view/4690 |
| _version_ | 1797813951205998592 |
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| author | Pavel N. Krivitsky David R. Hunter Martina Morris Chad Klumb |
| author_facet | Pavel N. Krivitsky David R. Hunter Martina Morris Chad Klumb |
| author_sort | Pavel N. Krivitsky |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-13T08:00:19Z |
| format | Article |
| id | doaj.art-9d0262b9890244269847ed0f315e4d88 |
| institution | Directory Open Access Journal |
| issn | 1548-7660 |
| language | English |
| last_indexed | 2024-03-13T08:00:19Z |
| publishDate | 2023-01-01 |
| publisher | Foundation for Open Access Statistics |
| record_format | Article |
| series | Journal of Statistical Software |
| spelling | doaj.art-9d0262b9890244269847ed0f315e4d882023-06-01T18:48:03ZengFoundation for Open Access StatisticsJournal of Statistical Software1548-76602023-01-0110514410.18637/jss.v105.i068327ergm 4: New Features for Analyzing Exponential-Family Random Graph ModelsPavel N. Krivitsky0https://orcid.org/0000-0002-9101-3362David R. Hunter1https://orcid.org/0000-0002-4976-9422Martina Morris2https://orcid.org/0000-0002-1191-3521Chad Klumb3University of New South WalesPennsylvania State UniversityUniversity of WashingtonUniversity of WashingtonThe 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.https://www.jstatsoft.org/index.php/jss/article/view/4690 |
| spellingShingle | Pavel N. Krivitsky David R. Hunter Martina Morris Chad Klumb ergm 4: New Features for Analyzing Exponential-Family Random Graph Models Journal of Statistical Software |
| title | ergm 4: New Features for Analyzing Exponential-Family Random Graph Models |
| title_full | ergm 4: New Features for Analyzing Exponential-Family Random Graph Models |
| title_fullStr | ergm 4: New Features for Analyzing Exponential-Family Random Graph Models |
| title_full_unstemmed | ergm 4: New Features for Analyzing Exponential-Family Random Graph Models |
| title_short | ergm 4: New Features for Analyzing Exponential-Family Random Graph Models |
| title_sort | ergm 4 new features for analyzing exponential family random graph models |
| url | https://www.jstatsoft.org/index.php/jss/article/view/4690 |
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