bayesTLS fits its models with brms and Stan. To cite bayesTLS in publications, please cite the package (below) together with the brms and Stan (RStan) references it relies on:

Noble DWA, Arnold PA, Nakagawa S, Pottier P (2026). A flexible modelling framework for estimating thermal tolerance and sensitivity. bioRxiv.<doi:10.64898/2026.07.16.738378>. https://www.biorxiv.org/content/10.64898/2026.07.16.738378v1

Bürkner P-C (2017). brms: An R Package for Bayesian Multilevel Models Using Stan. Journal of Statistical Software, 80(1), 1-28.<doi:10.18637/jss.v080.i01>.

Stan Development Team (2024). RStan: the R Interface to Stan. R package version 2.39.0.9000. https://mc-stan.org/.

The default sampling backend is cmdstanr; if you fit with cmdstanr rather than RStan, please cite it instead (run citation("cmdstanr")).

Corresponding BibTeX entries:

  @Article{,
    title = {A flexible modelling framework for estimating thermal
      tolerance and sensitivity},
    author = {Daniel W. A. Noble and Pieter A. Arnold and Shinichi
      Nakagawa and Patrice Pottier},
    year = {2026},
    journal = {bioRxiv},
    doi = {10.64898/2026.07.16.738378},
    url =
      {https://www.biorxiv.org/content/10.64898/2026.07.16.738378v1},
  }

  @Article{,
    title = {{brms}: An {R} Package for {Bayesian} Multilevel Models
      Using {Stan}},
    author = {Paul-Christian Bürkner},
    journal = {Journal of Statistical Software},
    year = {2017},
    volume = {80},
    number = {1},
    pages = {1--28},
    doi = {10.18637/jss.v080.i01},
  }

  @Manual{,
    title = {{RStan}: the {R} Interface to {Stan}},
    author = {{Stan Development Team}},
    year = {2024},
    note = {R package version 2.39.0.9000},
    url = {https://mc-stan.org/},
  }