To cite VaSSTra in publications, please cite the method paper. To also
credit this software implementation, cite the R package.

  López-Pernas S, Saqr M (2023). “From Variables to States to
  Trajectories (VaSSTra): A Method for Modelling the Longitudinal
  Dynamics of Learning and Behaviour.” In _Proceedings TEEM 2022: Tenth
  International Conference on Technological Ecosystems for Enhancing
  Multiculturality_, series Lecture Notes in Educational Technology,
  1169-1178. doi:10.1007/978-981-99-0942-1_123
  <https://doi.org/10.1007/978-981-99-0942-1_123>.

A BibTeX entry for LaTeX users is

  @InProceedings{vasstra2023,
    title = {From Variables to States to Trajectories ({VaSSTra}): A Method for Modelling the Longitudinal Dynamics of Learning and Behaviour},
    author = {Sonsoles López-Pernas and Mohammed Saqr},
    booktitle = {Proceedings TEEM 2022: Tenth International Conference on Technological Ecosystems for Enhancing Multiculturality},
    series = {Lecture Notes in Educational Technology},
    publisher = {Springer Nature Singapore},
    address = {Singapore},
    year = {2023},
    pages = {1169--1178},
    doi = {10.1007/978-981-99-0942-1_123},
  }

  Saqr M, López-Pernas S (2026). _VaSSTra: Simple Variables to States
  to Sequences to Trajectories_. R package version 0.4.0,
  <https://github.com/sonsoleslp/vasstra>.

A BibTeX entry for LaTeX users is

  @Manual{vasstra-package,
    title = {{VaSSTra}: Simple Variables to States to Sequences to Trajectories},
    author = {Mohammed Saqr and Sonsoles López-Pernas},
    year = {2026},
    note = {R package version 0.4.0},
    url = {https://github.com/sonsoleslp/vasstra},
  }