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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 "boostPM" in publications use:'
type: software
license: MIT
title: 'boostPM: Unsupervised Tree Boosting for Learning Probability Distributions'
version: 0.1.0
identifiers:
- type: doi
  value: 10.32614/CRAN.package.boostPM
abstract: Implements the unsupervised tree boosting method for learning probability
  distributions introduced by Awaya and Ma (2024). Provides model fitting, density
  evaluation, simulation, and diagnostic methods.
authors:
- family-names: Awaya
  given-names: Naoki
  email: nawaya@waseda.jp
preferred-citation:
  type: manual
  title: 'boostPM: Unsupervised Tree Boosting for Learning Probability Distributions'
  authors:
  - family-names: Awaya
    given-names: Naoki
    email: nawaya@waseda.jp
  year: '2026'
  url: https://github.com/nawaya040/boostPM-cran
repository: https://nawaya040.r-universe.dev
repository-code: https://github.com/nawaya040/boostPM-cran
commit: 8b015901cc16ae3e6ed2af6399a3fc2a3f81a2c3
url: https://github.com/nawaya040/boostPM-cran
date-released: '2026-07-27'
contact:
- family-names: Awaya
  given-names: Naoki
  email: nawaya@waseda.jp
references:
- type: article
  title: Unsupervised Tree Boosting for Learning Probability Distributions
  authors:
  - family-names: Awaya
    given-names: Naoki
  - family-names: Ma
    given-names: Li
  journal: Journal of Machine Learning Research
  year: '2024'
  volume: '25'
  url: https://jmlr.org/papers/v25/22-0980.html
  start: '1'
  end: '52'