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mlergm

0.8.1

Multilevel Exponential-Family Random Graph Models

0packages depend
7.7Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Jonathan StewartFirst published 2018-12-039 releasesCRAN page ↗

Estimates exponential-family random graph models for multilevel network data, assuming the multilevel structure is observed. The scope, at present, covers multilevel models where the set of nodes is nested within known blocks. The estimation method uses Monte-Carlo maximum likelihood estimation (MCMLE) methods to estimate a variety of canonical or curved exponential family models for binary random graphs. MCMLE methods for curved exponential-family random graph models can be found in Hunter and Handcock (JCGS, 2006). The package supports parallel computing, and provides methods for assessing goodness-of-fit of models and visualization of networks.

Install

Health

CRAN checks
13OK
Slowest check: 3.5 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
16
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
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
33%
Documented parameters
99%
Return-value docs
75%
References docs
46%

Downloads

7.7K
CRAN downloads in the past year
Rank #5,626 · ~21/day · ~643/mo
Daily download trend is not available in this view yet.
25830 days
1.4K90 days
7.7K1 year
Compare downloads with other packages →
Also on107 r2u23 autocran986 conda_forge

Dependencies

Declared dependencies
14 external dependencies (excludes base and recommended)
Depends (3)
R >= 4.0.0ergmnetwork
Imports (14)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

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

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

  • R
    R 4.6.0 released · 2026-04-24
  • 0.8.1Latest
    2025-05-22 · 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
  • 0.8
    2021-08-23 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 0.7
    2020-11-17 · diff ↗
  • 0.6
    2020-07-03 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 0.5
    2020-01-09 · diff ↗
  • 0.4
    2019-11-04 · diff ↗
  • 0.3
    2019-09-21 · diff ↗
  • 0.2
    2019-05-15 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
Show 2 earlier events
  • 0.1
    2018-12-03
  • R
    R 3.5.0 released · 2018-04-23

Package metadata

First published
2018-12-03
Total releases
9 / 8 yrs
License
GPL-3 OSI
Minimum R
≥ 4.0.0
Bundled data
9.7 KB / 1 file
Download size
841 KB
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("mlergm")
Stewart, J., & Schweinberger, M. (2025). mlergm: Multilevel Exponential-Family Random Graph Models (Version 0.8.1) [Computer software]. https://doi.org/10.32614/CRAN.package.mlergm

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 mlergm version 0.8.1 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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