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tergmLite

2.6.1

Fast Simulation of Simple Temporal Exponential Random Graph Models

0packages depend
4.3Kdownloads / year
4.1%test coverage
13/13checks pass

Overview

About
Maintained by Samuel M. JennessFirst published 2020-02-295 releasesCRAN page ↗

Provides functions for the computationally efficient simulation of dynamic networks estimated with the statistical framework of temporal exponential random graph models, implemented in the 'tergm' package.

Install

Health

CRAN checks
13OK
Slowest check: 3.0 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.55
4.1%
Coverage · measured lines
100%
Documentation · exports
8
Dependencies · direct
Check history
  • OK2026-08-04
    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
  • OK2026-04-22
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
  • ERROR2026-04-18
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 430 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
0%
Documented parameters
94%
Return-value docs
88%
References docs
0%

Downloads

4.3K
CRAN downloads in the past year
Rank #12,622 · ~12/day · ~358/mo
Daily download trend is not available in this view yet.
15130 days
78990 days
4.3K1 year
Compare downloads with other packages →
Also on408 r2u5 autocran

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)
Depends (3)
R >= 3.5ergmtergm
LinkingTo (2)
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

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

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

  • R
    R 4.6.0 released · 2026-04-24
  • 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
  • 2.6.1Latest
    2022-07-20 · current release · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 2.5.5
    2021-11-11 · diff ↗
  • 2.5.0
    2021-06-25 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 2.2.1
    2020-07-22 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 2.1.7
    2020-02-29
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2020-02-29
Total releases
5 / 6 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5
Download size
20 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("tergmLite")
Jenness, S. M., & Klumb, C. (2022). tergmLite: Fast Simulation of Simple Temporal Exponential Random Graph Models (Version 2.6.1) [Computer software]. https://doi.org/10.32614/CRAN.package.tergmLite

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 tergmLite version 2.6.1 [Data set]. HJJB, LLC. Data release v2026-08-08. https://doi.org/10.5281/zenodo.21843040

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

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