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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>.
Getting started
Browse package contents
Package details |
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| Author | Abhirup Mallik [aut, cre], Zack Almquist [aut] |
| Maintainer | Abhirup Mallik <abhirupkgp@gmail.com> |
| License | GPL-3 |
| Version | 0.3.5 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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