dnr
Simulate Dynamic Networks using Exponential Random Graph Models (ERGM) Family
Functions are provided to fit temporal lag models to dynamic networks. The models are build on top of exponential random graph models (ERGM) framework. There are functions for simulating or forecasting networks for future time points. Abhirup Mallik & Zack W. Almquist (2019) Stable Multiple Time Step Simulation/Prediction From Lagged Dynamic Network Regression Models, Journal of Computational and Graphical Statistics, 28:4, 967-979, doi:10.1080/10618600.2019.1594834.
- Version0.3.5
- R version≥ 3.2.0
- LicenseGPL-3
- Needs compilation?No
- Last release11/30/2020
Documentation
Team
Abhirup Mallik
Zack Almquist
Show author detailsRolesAuthor
Insights
Last 30 days
Last 365 days
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
- Imports4 packages
- Suggests2 packages