# ------------------------------------------------
# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# ------------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "VaSSTra" in publications use:'
type: software
license: MIT
title: 'VaSSTra: Simple Variables to States to Sequences to Trajectories'
version: 0.4.0
doi: 10.1007/978-981-99-0942-1_123
identifiers:
- type: doi
  value: 10.32614/CRAN.package.VaSSTra
- type: url
  value: https://lamethods.org/book1/chapters/ch11-vasstra/ch11-vasstra.html
abstract: A small, pipe-friendly implementation of the VaSSTra workflow for longitudinal
  multivariate data. It provides explicit steps to turn variables into states, states
  into aligned sequences, and sequences into trajectory groups, followed by tidy trajectory
  descriptions. A single call runs the complete analysis with transparent, overridable
  automation of data roles and cluster counts, and an evaluation verb compares the
  fitted clustering against its alternatives. 'Nestimate' provides the default sequence-clustering
  backend and all sequence plots. No 'TraMineR' dependency is required.
authors:
- family-names: Saqr
  given-names: Mohammed
  email: saqr@saqr.me
- family-names: López-Pernas
  given-names: Sonsoles
  email: sonsoles.lopez@uef.fi
preferred-citation:
  type: conference-paper
  title: 'From Variables to States to Trajectories (VaSSTra): A Method for Modelling
    the Longitudinal Dynamics of Learning and Behaviour'
  authors:
  - family-names: López-Pernas
    given-names: Sonsoles
    email: sonsoles.lopez@uef.fi
  - family-names: Saqr
    given-names: Mohammed
    email: saqr@saqr.me
  collection-title: 'Proceedings TEEM 2022: Tenth International Conference on Technological
    Ecosystems for Enhancing Multiculturality'
  collection-type: proceedings
  publisher:
    name: Springer Nature Singapore
  year: '2023'
  doi: 10.1007/978-981-99-0942-1_123
  start: '1169'
  end: '1178'
  conference:
    name: 'Proceedings TEEM 2022: Tenth International Conference on Technological
      Ecosystems for Enhancing Multiculturality'
    address: Singapore
repository: https://mohsaqr.r-universe.dev
repository-code: https://github.com/sonsoleslp/vasstra
commit: 04490e71993b7ea835d954189d525e951e5675aa
url: https://sonsoles.me/vasstra/
date-released: '2026-08-25'
contact:
- family-names: Saqr
  given-names: Mohammed
  email: saqr@saqr.me
references:
- type: manual
  title: 'VaSSTra: Simple Variables to States to Sequences to Trajectories'
  authors:
  - family-names: Saqr
    given-names: Mohammed
  - family-names: López-Pernas
    given-names: Sonsoles
  year: '2026'
  notes: R package version 0.4.0
  url: https://github.com/sonsoleslp/vasstra