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dnr  

Simulate Dynamic Networks using Exponential Random Graph Models (ERGM) Family
View on CRAN: Click here


Download and install dnr package within the R console
Install from CRAN:
install.packages("dnr")

Install from Github:
library("remotes")
install_github("cran/dnr")

Install by package version:
library("remotes")
install_version("dnr", "0.3.5")



Attach the package and use:
library("dnr")
Maintained by
Abhirup Mallik
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-02-23
Latest Update: 2020-11-30
Description:
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, .
How to cite:
Abhirup Mallik (2018). dnr: Simulate Dynamic Networks using Exponential Random Graph Models (ERGM) Family. R package version 0.3.5, https://cran.r-project.org/web/packages/dnr. Accessed 09 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:32), 0.3.2 (2018-02-23 12:21), 0.3.4 (2018-07-26 09:40), 0.3.5 (2020-11-30 18:10)
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Complete documentation for dnr
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