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.

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.

Corresponding BibTeX entries:

  @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},
  }

  @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},
  }