ergm.userterms : A Template Package for Extending statnet
Exponential-family random graph models (ERGMs) represent a powerful and flexible class of models for the statistical analysis of networks. statnet is a suite of software packages that implement these models. This paper details how the capabilities for ERGM modeling can be expanded and customized by...
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Online Access: | http://www.jstatsoft.org/v52/i02/paper |
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doaj-a883db1975cd4c6eb8ee0b7c247537cd2020-11-24T22:15:16ZengFoundation for Open Access StatisticsJournal of Statistical Software1548-76602013-01-01522ergm.userterms : A Template Package for Extending statnetDavid R. HunterSteven M. GoodreauMark S. HandcockExponential-family random graph models (ERGMs) represent a powerful and flexible class of models for the statistical analysis of networks. statnet is a suite of software packages that implement these models. This paper details how the capabilities for ERGM modeling can be expanded and customized by programming additional network statistics that may be included in ERGMs. We describe a template R package called ergm.userterms that can be modified for this purpose. It is designed to make this process as straightforward as possible. We also explain some of the internal workings of statnet that will help users develop their own network analysis capabilities.http://www.jstatsoft.org/v52/i02/paperexponential-family random graph modelMarkov chain Monte Carlomaximum likelihood estimationp-star model. |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
David R. Hunter Steven M. Goodreau Mark S. Handcock |
spellingShingle |
David R. Hunter Steven M. Goodreau Mark S. Handcock ergm.userterms : A Template Package for Extending statnet Journal of Statistical Software exponential-family random graph model Markov chain Monte Carlo maximum likelihood estimation p-star model. |
author_facet |
David R. Hunter Steven M. Goodreau Mark S. Handcock |
author_sort |
David R. Hunter |
title |
ergm.userterms : A Template Package for Extending statnet |
title_short |
ergm.userterms : A Template Package for Extending statnet |
title_full |
ergm.userterms : A Template Package for Extending statnet |
title_fullStr |
ergm.userterms : A Template Package for Extending statnet |
title_full_unstemmed |
ergm.userterms : A Template Package for Extending statnet |
title_sort |
ergm.userterms : a template package for extending statnet |
publisher |
Foundation for Open Access Statistics |
series |
Journal of Statistical Software |
issn |
1548-7660 |
publishDate |
2013-01-01 |
description |
Exponential-family random graph models (ERGMs) represent a powerful and flexible class of models for the statistical analysis of networks. statnet is a suite of software packages that implement these models. This paper details how the capabilities for ERGM modeling can be expanded and customized by programming additional network statistics that may be included in ERGMs. We describe a template R package called ergm.userterms that can be modified for this purpose. It is designed to make this process as straightforward as possible. We also explain some of the internal workings of statnet that will help users develop their own network analysis capabilities. |
topic |
exponential-family random graph model Markov chain Monte Carlo maximum likelihood estimation p-star model. |
url |
http://www.jstatsoft.org/v52/i02/paper |
work_keys_str_mv |
AT davidrhunter ergmusertermsatemplatepackageforextendingstatnet AT stevenmgoodreau ergmusertermsatemplatepackageforextendingstatnet AT markshandcock ergmusertermsatemplatepackageforextendingstatnet |
_version_ |
1725795126925590528 |