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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.

Version: 0.1.1
Depends: R (≥ 4.1.0)
Imports: ggplot2, httr2 (≥ 1.1.0), Rcpp, survival
LinkingTo: Rcpp
Suggests: igraph, parallel, relevent, testthat (≥ 3.0.0)
Published: 2026-05-19
DOI: 10.32614/CRAN.package.llrem (may not be active yet)
Author: C. Ben Gibson [aut, cre]
Maintainer: C. Ben Gibson <cbengibson at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: yes
Materials: NEWS
CRAN checks: llrem results

Documentation:

Reference manual: llrem.html , llrem.pdf

Downloads:

Package source: llrem_0.1.1.tar.gz
Windows binaries: r-devel: not available, r-release: llrem_0.1.1.zip, r-oldrel: llrem_0.1.1.zip
macOS binaries: r-release (arm64): llrem_0.1.1.tgz, r-oldrel (arm64): llrem_0.1.1.tgz, r-release (x86_64): llrem_0.1.1.tgz, r-oldrel (x86_64): llrem_0.1.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=llrem to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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