llrem
LLM Relational Event Models
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling linux/jammy R-4.5 | llrem_0.1.1.tar.gz |
244.1 KiB |
0.1.1 |
rolling linux/noble R-4.5 | llrem_0.1.1.tar.gz |
245.8 KiB |
0.1.1 |
rolling source/ R- | llrem_0.1.1.tar.gz |
72.1 KiB |
0.1.1 |
latest linux/jammy R-4.5 | llrem_0.1.1.tar.gz |
244.1 KiB |
0.1.1 |
latest linux/noble R-4.5 | llrem_0.1.1.tar.gz |
245.8 KiB |
0.1.1 |
latest source/ R- | llrem_0.1.1.tar.gz |
72.1 KiB |
0.1.1 |
2026-04-23 source/ R- | llrem_0.1.1.tar.gz |
0 B |