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# CITATION 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 "dupiR" in publications use:'
type: software
license: GPL-2.0-only
title: 'dupiR: Bayesian Inference from Count Data using Discrete Uniform Priors'
version: 1.2.1
doi: 10.1371/journal.pone.0074388
identifiers:
- type: doi
  value: 10.32614/CRAN.package.dupiR
abstract: We consider a set of sample counts obtained by sampling arbitrary fractions
  of a finite volume containing an homogeneously dispersed population of identical
  objects. This package implements a Bayesian derivation of the posterior probability
  distribution of the population size using a binomial likelihood and non-conjugate,
  discrete uniform priors under sampling with or without replacement. This can be
  used for a variety of statistical problems involving absolute quantification under
  uncertainty. See Comoglio et al. (2013) <https://doi.org/10.1371/journal.pone.0074388>.
authors:
- family-names: Comoglio
  given-names: Federico
  email: federico.comoglio@gmail.com
- family-names: Rinaldi
  given-names: Maurizio
  email: maurizio.rinaldi@uniupo.it
preferred-citation:
  type: article
  title: Bayesian inference from count data using discrete uniform priors
  authors:
  - family-names: Comoglio
    given-names: Federico
    email: federico.comoglio@gmail.com
  - family-names: Fracchia
    given-names: Letizia
  - family-names: Rinaldi
    given-names: Maurizio
    email: maurizio.rinaldi@uniupo.it
  journal: PLoS ONE
  year: '2013'
  volume: '8'
  issue: '10'
  doi: 10.1371/journal.pone.0074388
  start: e74388
repository: https://federicocomoglio.r-universe.dev
commit: ddb65a941a2b43308290ef1f5030ffae0ca3d2c5
date-released: '2024-03-17'
contact:
- family-names: Comoglio
  given-names: Federico
  email: federico.comoglio@gmail.com