# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "BinaryReplicates" in publications use:' type: software license: GPL-3.0-or-later title: 'BinaryReplicates: Dealing with Binary Replicates' version: 1.0.0 doi: 10.32614/CRAN.package.BinaryReplicates abstract: Statistical methods for analyzing binary replicates, which are noisy binary measurements of latent binary states. Provides scoring functions (average, median, likelihood-based, and Bayesian) to estimate the probability that an individual is in the positive state. Includes maximum a posteriori estimation via the EM algorithm and full Bayesian inference via Stan. Supports classification with inconclusive decisions and prevalence estimation. authors: - family-names: Pudlo given-names: Pierre email: pierre.pudlo@univ-amu.fr orcid: https://orcid.org/0000-0003-0995-716X - family-names: Royez-Carenzi given-names: Manuela email: manuela.carenzi@univ-amu.fr orcid: https://orcid.org/0000-0003-2392-1120 - family-names: Lorenzo given-names: Hadrien email: hadrien.lorenzo@univ-amu.fr orcid: https://orcid.org/0000-0002-0253-8539 repository: https://pierrepudlo.r-universe.dev repository-code: https://github.com/pierrepudlo/BinaryReplicates commit: 3bc5776cd2f519d59db165e1f8f016b8ab001342 url: https://github.com/pierrepudlo/BinaryReplicates date-released: '2026-02-02' contact: - family-names: Pudlo given-names: Pierre email: pierre.pudlo@univ-amu.fr orcid: https://orcid.org/0000-0003-0995-716X