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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 "DiPPER" in publications use:'
type: software
license: Artistic-2.0
title: 'DiPPER: Differential Prevalence via Probabilistic Estimation in R'
version: 0.99.1
doi: 10.48550/arXiv.2602.05938
abstract: Implements a Bayesian hierarchical model for differential prevalence analysis,
  tailored for microbiome studies. The method accommodates both cross-sectional and
  longitudinal designs, providing finite effect estimates and uncertainty intervals
  that are naturally adjusted for multiple testing via hierarchical shrinkage. Posterior
  inference is performed via Markov chain Monte Carlo (MCMC) using 'CmdStan' as the
  backend.
authors:
- family-names: Pelto
  given-names: Juho
  email: jepelt@utu.fi
  orcid: https://orcid.org/0000-0001-8820-8014
- family-names: Lahti
  given-names: Leo
  email: leo.lahti@iki.fi
  orcid: https://orcid.org/0000-0001-5537-637X
preferred-citation:
  type: unpublished
  title: 'DiPPER: A Bayesian approach to differential prevalence analysis with applications
    in microbiome studies'
  authors:
  - family-names: Pelto
    given-names: Juho
    email: jepelt@utu.fi
    orcid: https://orcid.org/0000-0001-8820-8014
  - family-names: Auranen
    given-names: Kari
  - family-names: Kujala
    given-names: Janne V.
  - family-names: Lahti
    given-names: Leo
    email: leo.lahti@iki.fi
    orcid: https://orcid.org/0000-0001-5537-637X
  year: '2026'
  notes: arXiv preprint arXiv:2602.05938
  url: https://arxiv.org/abs/2602.05938
  doi: 10.48550/arXiv.2602.05938
repository: https://bioc.r-universe.dev
repository-code: https://github.com/jepelt/DiPPER
commit: 657a071a85192a5ed053ca2c2b554f4ee727757e
url: https://github.com/jepelt/DiPPER
date-released: '2026-09-30'
contact:
- family-names: Pelto
  given-names: Juho
  email: jepelt@utu.fi
  orcid: https://orcid.org/0000-0001-8820-8014