If you use rjsf in your work, please cite both the rjsf package and the
original Jump-Switch-Flow methodology.

  Vu T, Germano D, Lydeamore M (2026). _rjsf: An R Interface to the
  Jump-Switch-Flow Simulator_. R package version 0.1.0,
  <https://github.com/olivervu25/rjsf>.

A BibTeX entry for LaTeX users is

  @Manual{,
    title = {{rjsf}: An R Interface to the Jump-Switch-Flow Simulator},
    author = {Thanh Long Vu and Domenic Germano and Michael Lydeamore},
    year = {2026},
    note = {R package version 0.1.0},
    url = {https://github.com/olivervu25/rjsf},
  }

  Germano DPJ, Zarebski AE, Hautphenne S, Moss R, Flegg JA, Flegg MB
  (2026). “A hybrid framework for compartmental models enabling
  simulation-based inference.” _Journal of Mathematical Biology_, *92*,
  93. doi:10.1007/s00285-026-02409-y
  <https://doi.org/10.1007/s00285-026-02409-y>.

A BibTeX entry for LaTeX users is

  @Article{,
    title = {A hybrid framework for compartmental models enabling simulation-based inference},
    author = {Domenic P. J. Germano and Alexander E. Zarebski and Sophie Hautphenne and Robert Moss and Jennifer A. Flegg and Mark B. Flegg},
    journal = {Journal of Mathematical Biology},
    year = {2026},
    volume = {92},
    pages = {93},
    doi = {10.1007/s00285-026-02409-y},
  }

The upstream Python implementation of Jump-Switch-Flow is available at
https://github.com/DGermano8/jsf.