To cite cramR in publications, please use the following:

Vandecasteele Y, Li M, Imai K, Jia Z, Wang L (2025). cramR: The Cram Method for Efficient Simultaneous Learning and Evaluation. Package developed and maintained by Yanis Vandecasteele., https://github.com/yanisvdc/cramR.

Jia Z, Imai K, Li M (2024). “The Cram Method for Efficient Simultaneous Learning and Evaluation.” Harvard Business School. Accessed April 2025, https://www.hbs.edu/ris/Publication%20Files/2403.07031v1_a83462e0-145b-4675-99d5-9754aa65d786.pdf.

Jia Z, Imai K, Li M (2025). “Cramming Contextual Bandits for On-policy Statistical Evaluation.” 2403.07031, https://arxiv.org/abs/2403.07031.

Corresponding BibTeX entries:

  @Manual{,
    title = {cramR: The Cram Method for Efficient Simultaneous Learning
      and Evaluation},
    author = {Yanis Vandecasteele and Michael Lingzhi Li and Kosuke
      Imai and Zeyang Jia and Longlin Wang},
    year = {2025},
    note = {Package developed and maintained by Yanis Vandecasteele.},
    url = {https://github.com/yanisvdc/cramR},
  }

  @TechReport{,
    title = {The Cram Method for Efficient Simultaneous Learning and
      Evaluation},
    author = {Zeyang Jia and Kosuke Imai and Michael Lingzhi Li},
    institution = {Harvard Business School},
    year = {2024},
    url =
      {https://www.hbs.edu/ris/Publication%20Files/2403.07031v1_a83462e0-145b-4675-99d5-9754aa65d786.pdf},
    note = {Accessed April 2025},
  }

  @Misc{,
    title = {Cramming Contextual Bandits for On-policy Statistical
      Evaluation},
    author = {Zeyang Jia and Kosuke Imai and Michael Lingzhi Li},
    year = {2025},
    eprint = {2403.07031},
    archiveprefix = {arXiv},
    primaryclass = {cs.LG},
    url = {https://arxiv.org/abs/2403.07031},
  }