mlergm
0.8.1Multilevel Exponential-Family Random Graph Models
Overview
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
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
Documentation signals are not tracked yet for this package.
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
9 releases. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.8.1Latest
- 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
- 0.82021-08-23 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 0.72020-11-17 · diff ↗
- 0.62020-07-03 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 0.52020-01-09 · diff ↗
- 0.42019-11-04 · diff ↗
- 0.32019-09-21 · diff ↗
- 0.22019-05-15 · diff ↗
- RR 3.6.0 released · 2019-04-26
Show 2 earlier events
- 0.12018-12-03
- RR 3.5.0 released · 2018-04-23
Package metadata
- First published
- 2018-12-03
- Total releases
- 9 / 8 yrs
- License
- GPL-3 OSI
- Download size
- 841 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet