https://github.com/bouchardlab/ergm
Fit, Simulate and Diagnose Exponential-Family Models for Networks
Science Score: 13.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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✓DOI references
Found 1 DOI reference(s) in README -
○Academic publication links
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○Scientific vocabulary similarity
Low similarity (13.9%) to scientific vocabulary
Repository
Fit, Simulate and Diagnose Exponential-Family Models for Networks
Basic Info
- Host: GitHub
- Owner: BouchardLab
- License: other
- Language: R
- Default Branch: master
- Size: 21.4 MB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
ergm: Fit, Simulate and Diagnose Exponential-Family Models for Networks
An integrated set of tools to analyze and simulate networks based on exponential-family random graph models (ERGMs). 'ergm' is a part of the Statnet suite of packages for network analysis. See Hunter, Handcock, Butts, Goodreau, and Morris (2008) doi:10.18637/jss.v024.i03 and Krivitsky, Hunter, Morris, and Klumb (2021) arXiv:2106.04997.
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/ergm
* A private repository statnet/ergm-private
The intention is that all developments in statnet/ergm-private will eventually make their way into statnet/ergm 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 ergm depends, in particular statnet.common and ergm.count.
Owner
- Name: Bouchard Lab GitHub
- Login: BouchardLab
- Kind: organization
- Email: kebouchard@berkeley.edu
- Website: https://bouchardlab.lbl.gov/
- Repositories: 10
- Profile: https://github.com/BouchardLab