Nothing
tergm: Fit, Simulate and Diagnose Models for Network Evolution Based on Exponential-Family Random Graph Models
An integrated set of extensions to the 'ergm' package to analyze and simulate network evolution based on exponential-family random graph models (ERGM). 'tergm' is a part of the 'statnet' suite of packages for network analysis. See Krivitsky and Handcock (2014) <doi:10.1111/rssb.12014> and Carnegie, Krivitsky, Hunter, and Goodreau (2015) <doi:10.1080/10618600.2014.903087>.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Pavel N. Krivitsky [aut, cre] (<https://orcid.org/0000-0002-9101-3362>), Mark S. Handcock [aut, ths], David R. Hunter [ctb], Steven M. Goodreau [ctb, ths], Martina Morris [ctb, ths], Nicole Bohme Carnegie [ctb], Carter T. Butts [ctb], Ayn Leslie-Cook [ctb], Skye Bender-deMoll [ctb], Li Wang [ctb], Kirk Li [ctb], Chad Klumb [ctb], Adrien Le Guillou [ctb] (<https://orcid.org/0000-0002-4791-418X>) |
| Maintainer | Pavel N. Krivitsky <pavel@statnet.org> |
| License | GPL-3 + file LICENSE |
| Version | 4.2.1 |
| URL | https://statnet.org |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the tergm package in your browser
Any scripts or data that you put into this service are public.
