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amorem

amorem is an R package for simulation and inference in relational event models (REMs) and relational hyper event models (RHEMs) — dynamic network data in continuous time.

📖 Documentation

Everything lives on the documentation site:

→ franciscorichter.github.io/amorem

Installation, the quick-start tutorial, the full guide set (simulation, endogenous catalogue, estimation, hyperedge models, datasets, real-data analysis, validation experiments), and the complete function reference are all there.

References

Methodological background for the models implemented in amorem:

• Bianchi, F., Filippi-Mazzola, E., Lomi, A., & Wit, E. C. (2024). Relational Event Modeling. Annual Review of Statistics and Its Application, 11, 297–319. https://doi.org/10.1146/annurev-statistics-040722-060248
• Boschi, M., & Wit, E. C. (2026). Introduction to Relational Event Modelling. arXiv:2604.07063. https://arxiv.org/abs/2604.07063
• Juozaitienė, R., & Wit, E. C. (2024). Relational event modelling with timing, closure and actor-heterogeneity effects. Journal of the Royal Statistical Society Series A, 188(4). https://doi.org/10.1093/jrsssa/qnae132
• Boschi, M., Lerner, J., & Wit, E. C. (2025). Relational hyper event models with time-varying non-linear effects. arXiv:2509.05289. https://arxiv.org/abs/2509.05289

License

MIT, see LICENSE.

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.