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.
To facilitate open development of the package while giving the core developers an opportunity to publish on their developments before opening them up for general use, this project comprises two repositories:
- A public repository
statnet/tergm - A private repository
statnet/tergm-private
The intention is that all developments in statnet/tergm-private will eventually make their way into statnet/tergm and onto CRAN.
Developers and Contributing Users to the Statnet Project should read https://statnet.org/private/ for information about the relationship between the public and the private repository and the workflows involved.
R-Universe builds a set of binaries after every commit to the main branch of the repository. We strongly encourage testing against them before filing a bug report, as they may contain fixes that have not yet been sent to CRAN. To obtain the binaries from r-universe, navigate to the package page at https://statnet.r-universe.dev/tergm .
You may also want to install the corresponding latest binaries for packages on which tergm depends, in particular statnet.common, network, networkDynamic, ergm, and ergm.multi.