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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 "PLMIX" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'PLMIX: Bayesian Analysis of Finite Mixture of Plackett-Luce Models'
version: 2.2.0
doi: 10.1007/s11336-016-9530-0
identifiers:
- type: doi
  value: 10.32614/CRAN.package.PLMIX
abstract: Fit finite mixtures of Plackett-Luce models for partial top rankings/orderings
  within the Bayesian framework. It provides MAP point estimates via EM algorithm
  and posterior MCMC simulations via Gibbs Sampling. It also fits MLE as a special
  case of the noninformative Bayesian analysis with vague priors. In addition to inferential
  techniques, the package assists other fundamental phases of a model-based analysis
  for partial rankings/orderings, by including functions for data manipulation, simulation,
  descriptive summary, model selection and goodness-of-fit evaluation. Main references
  on the methods are Mollica and Tardella (2017) <https://doi.org/10.1007/s11336-016-9530-0>
  and Mollica and Tardella (2014) <https://doi.org/10.1002/sim.6224>.
authors:
- family-names: Mollica
  given-names: Cristina
  email: cristina.mollica@uniroma1.it
- family-names: Tardella
  given-names: Luca
  email: luca.tardella@uniroma1.it
preferred-citation:
  type: article
  title: Bayesian Plackett-Luce mixture models for partially ranked data
  authors:
  - family-names: Mollica
    given-names: Cristina
    email: cristina.mollica@uniroma1.it
  - family-names: Tardella
    given-names: Luca
    email: luca.tardella@uniroma1.it
  year: '2017'
  journal: Psychometrika
  volume: '82'
  issue: '2'
  issn: 0033-3123
  doi: 10.1007/s11336-016-9530-0
  start: '442'
  end: '458'
repository: https://cranhaven.r-universe.dev
commit: 1ab05077b5d0fe9f9da9cfc06c3687ee2cc287b9
date-released: '2025-06-30'
contact:
- family-names: Mollica
  given-names: Cristina
  email: cristina.mollica@uniroma1.it
references:
- type: article
  title: Epitope profiling via mixture modeling for ranked data
  authors:
  - family-names: Mollica
    given-names: Cristina
  - family-names: Tardella
    given-names: Luca
  year: '2014'
  journal: Statistics in Medicine
  volume: '33'
  issue: '21'
  issn: 0277-6715
  doi: 10.1002/sim.6224
  start: '3738'
  end: '3758'