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dnr

0.3.6

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

0packages depend
4.3Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Abhirup MallikFirst published 2018-02-234 releasesCRAN page ↗

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>.

Install

Health

CRAN checks
13OK
Slowest check: 4.6 min · r-oldrel-macos-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
6
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-18
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 1 earlier snapshots
  • NOTE2026-03-10
    5 OK · 9 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 184 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
54%
Documented parameters
92%
Return-value docs
92%
References docs
0%

Downloads

4.3K
CRAN downloads in the past year
Rank #6,664 · ~12/day · ~356/mo
Daily download trend is not available in this view yet.
30230 days
1.2K90 days
4.3K1 year
Compare downloads with other packages →
Also on149 r2u25 autocran

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)
Depends (3)
R >= 3.2.0networkergm
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Package Timeline

4 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.3.6Latest
    2026-03-10 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 0.3.5
    2020-11-30 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 0.3.4
    2018-07-26 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 0.3.2
    2018-02-23
  • R
    R 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
Installed size
not tracked yet
With dependencies
not tracked yet
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("dnr")
Mallik, A., & Almquist, Z. (2026). dnr: Simulate Dynamic Networks using Exponential Random Graph Models (ERGM) Family (Version 0.3.6) [Computer software]. https://doi.org/10.32614/CRAN.package.dnr

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for dnr version 0.3.6 [Data set]. HJJB, LLC. Data release v2026-08-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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