README.md
In statnet/tergm: Fit, Simulate and Diagnose Models for Network Evolution Based on Exponential-Family Random Graph Models
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) and Carnegie, Krivitsky, Hunter, and Goodreau (2015) .
Public and Private repositories
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.github.io/private/ for information about the relationship between the public and the private repository and the workflows involved.
Latest Windows and MacOS binaries
A set of binaries is built after every commit to 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. They can be downloaded through the following links:
You will need to extract the MacOS .tgz or the Windows .zip file from the outer .zip file before installing. These binaries are usually built under the latest version of R and their operating system and may not work under other versions.
You may also want to install the corresponding latest binaries for packages on which tergm depends, in particular statnet.common, network, networkDynamic, and ergm.
Code of Conduct
Please note that the tergm project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.
statnet/tergm documentation built on Jan. 31, 2024, 12:10 p.m.
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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) and Carnegie, Krivitsky, Hunter, and Goodreau (2015) .
Public and Private repositories
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.github.io/private/ for information about the relationship between the public and the private repository and the workflows involved.
Latest Windows and MacOS binaries
A set of binaries is built after every commit to 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. They can be downloaded through the following links:
You will need to extract the MacOS .tgz or the Windows .zip file from the outer .zip file before installing. These binaries are usually built under the latest version of R and their operating system and may not work under other versions.
You may also want to install the corresponding latest binaries for packages on which tergm depends, in particular statnet.common, network, networkDynamic, and ergm.
Code of Conduct
Please note that the tergm project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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