dnr

Simulate Dynamic Networks using Exponential Random Graph Models (ERGM) Family

CRAN Package

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


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Insights

Last 30 days

This package has been downloaded 158 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 1 times.

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0 downloadsMar 2, 2025
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9 downloadsMar 5, 2025
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1 downloadsApr 3, 2025
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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 2,100 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Sep 11, 2024 with 29 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


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Dependencies

  • Depends2 packages
  • Imports4 packages
  • Suggests2 packages