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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "transitiontrees" in publications use:'
type: software
license: GPL-3.0-only
title: 'transitiontrees: Pathway Trees and Predictive Pathway Discovery in Sequence
  Data'
version: 0.1.2
doi: 10.32614/CRAN.package.transitiontrees
abstract: 'Discovers, ranks, and interprets predictive pathways in categorical sequence
  data. Fits a variable-depth pathway tree (prediction suffix tree; Ron, Singer and
  Tishby (1996) <https://doi.org/10.1023/A:1026490906255>) and exposes a pathway-centric
  application programming interface: most common pathways, most predictively divergent
  pathways, sharpest pathways, modal-flip diagnostics, and next-state predictions.
  Multiple pruning criteria (likelihood-ratio G-squared, Kullback-Leibler divergence,
  and the Akaike and Bayesian information criteria), smoothing for unseen contexts,
  and sequence sampling are supported. The fit and predictive surface are validated
  to machine precision against an independent external reference implementation of
  the model.'
authors:
- family-names: Saqr
  given-names: Mohammed
  email: saqr@saqr.me
repository: https://mohsaqr.r-universe.dev
repository-code: https://github.com/mohsaqr/transitiontrees
commit: 83add7aae8fd4a2e09491c70e3fc537c5b81f347
url: https://github.com/mohsaqr/transitiontrees
date-released: '2026-10-16'
contact:
- family-names: Saqr
  given-names: Mohammed
  email: saqr@saqr.me