# amorem

<p align="center">
  <img src="man/figures/amorem.png" width="220" alt="amorem logo" />
</p>
<p align="center">
  <a href="https://github.com/franciscorichter/amorem/actions/workflows/R-CMD-check.yaml"><img src="https://github.com/franciscorichter/amorem/actions/workflows/R-CMD-check.yaml/badge.svg" alt="R-CMD-check" /></a>
  <a href="https://franciscorichter.github.io/amorem/"><img src="https://img.shields.io/badge/docs-pkgdown-blue" alt="pkgdown docs" /></a>
  <img src="https://img.shields.io/badge/status-prototype-blue" alt="status prototype" />
</p>

**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](https://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`.
