Simulate Dynamic Networks using Exponential Random Graph Models (ERGM) Family
Overview
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>.
CRAN resubmission
- Reformatted
NEWS.mdinto a machine-readable package news file. - Fixed Rd markup in the package-level documentation.
---
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-18
Show 1 earlier changeHide 1 earlier change
- NOTE5 OK, 9 NOTE2026-03-10
Documentation
- Help pages
- 18 (1 internal)includes a package overview page
- Examples that run
- 54%7 run in a plain check · 6 never run
- Exported functions with examples
- 92%
- Documented parameters
- 92%
- Return-value docs
- 92%
- Help pages citing references
- 0%
Downloads
Dependencies
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 0.3.6Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.3.5
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 0.3.4
- RR 3.5.0 released · 2018-04-23
- 0.3.22018-02-23
- RR 3.4.0 released · 2017-04-21
Package metadata
- First published
- 2018-02-23
- Total releases
- 4 / 8 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.2.0
- Bundled data
- 1.3 MB / 2 files
- Download size
- 1.1 MB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("dnr")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.