bigergm
Fit, Simulate, and Diagnose Hierarchical Exponential-Family Models for Big Networks
A toolbox for analyzing and simulating large networks based on hierarchical exponential-family random graph models (HERGMs). 'bigergm' implements the estimation for large networks efficiently building on the 'lighthergm' and 'hergm' packages. Moreover, the package contains tools for simulating networks with local dependence to assess the goodness-of-fit.
- Version1.2.4
- R versionR (≥ 3.5.0)
- LicenseGPL-3
- Needs compilation?Yes
- Last release02/24/2025
Documentation
Team
Cornelius Fritz
MaintainerShow author detailsMichael Schweinberger
Shota Komatsu
Show author detailsRolesAuthorTakanori Nishida
Show author detailsRolesAuthorAngelo Mele
Show author detailsRolesAuthorJuan Nelson Martínez Dahbura
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 321 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 9 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 4,949 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Jun 16, 2024 with 65 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends2 packages
- Imports19 packages
- Suggests5 packages
- Linking To2 packages