tergmLite
2.6.1Fast Simulation of Simple Temporal Exponential Random Graph Models
Overview
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
- OK2026-08-0413 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-04-2214 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
- ERROR2026-04-1813 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 0%
- Documented parameters
- 94%
- Return-value docs
- 88%
- References docs
- 0%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
5 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 2.6.1Latest
- RR 4.2.0 released · 2022-04-22
- 2.5.52021-11-11 · diff ↗
- 2.5.02021-06-25 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 2.2.12020-07-22 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 2.1.72020-02-29
- RR 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
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