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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "admix" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'admix: Package Admix for Admixture (aka Contamination) Models'
version: 2.3.1
doi: 10.32614/CRAN.package.admix
abstract: Implements techniques to estimate the unknown quantities related to two-component
  admixture models, where the two components can belong to any distribution (note
  that in the case of multinomial mixtures, the two components must belong to the
  same family). Estimation methods depend on the assumptions made on the unknown component
  density; see Bordes and Vandekerkhove (2010) <https://doi.org/10.3103/S1066530710010023>,
  Patra and Sen (2016) <https://doi.org/10.1111/rssb.12148>, and Milhaud, Pommeret,
  Salhi, Vandekerkhove (2024) <https://doi.org/10.3150/23-BEJ1593>. In practice, one
  can estimate both the mixture weight and the unknown component density in a wide
  variety of frameworks. On top of that, hypothesis tests can be performed in one
  and two-sample contexts to test the unknown component density (see Milhaud, Pommeret,
  Salhi and Vandekerkhove (2022) <https://doi.org/10.1016/j.jspi.2021.05.010>, and
  Milhaud, Pommeret, Salhi, Vandekerkhove (2024) <https://doi.org/10.3150/23-BEJ1593>).
  Finally, clustering of unknown mixture components is also feasible in a K-sample
  setting (see Milhaud, Pommeret, Salhi, Vandekerkhove (2024) <https://jmlr.org/papers/v25/23-0914.html>).
authors:
- family-names: Milhaud
  given-names: Xavier
  email: xavier.milhaud.research@gmail.com
repository: https://CRAN.R-project.org/package=admix
repository-code: https://github.com/XavierMilhaud/admix-Rpackage
url: https://github.com/XavierMilhaud/admix-Rpackage
date-released: '2024-10-24'
contact:
- family-names: Milhaud
  given-names: Xavier
  email: xavier.milhaud.research@gmail.com