LLM Relational Event Models
Overview
Fit Cox proportional hazards relational event models (REMs), including a separable formulation that partitions events into initiation and continuation sub-models. Optionally augments REM simulations with large language model (LLM) agents that select targets conditioned on event history, supporting multiple providers ('OpenAI', 'Anthropic', 'xAI'/'Grok', 'Google Gemini', 'Ollama', 'AWS Bedrock') through a common interface. See Butts (2008) doi:10.1111/j.1467-9531.2008.00203.x for description of relational event modeling.
- Removed use of
:::from the example incompute_hazard_surface()documentation; the example now constructs the base risk set inline using exported APIs.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK7 OK2026-05-20
Documentation
- Help pages
- 35
- Examples that run
- 48%16 run in a plain check · 17 never run
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
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- Help pages citing references
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Code & Tests
Datasets
People & History
- 0.1.1Latest2026-05-19 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-05-19
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.1.0
- Bundled data
- 1.5 KB / 2 files
- Download size
- 72 KB
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