Dealing with Binary Replicates R package BinaryReplicates version 1.0.0 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. Software Depends: R (>= 3.5.0) Imports: methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), rstantools (>= 2.4.0), dplyr (>= 0.8.0), magrittr (>= 1.5) LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0) Suggests: knitr, rmarkdown, tidyverse Pierre Pudlo <pierre.pudlo@univ-amu.fr> Comprehensive R Archive Network (CRAN) Pierre Pudlo [aut, cre] (ORCID: <https://orcid.org/0000-0003-0995-716X>), Manuela Royez-Carenzi [aut] (ORCID: <https://orcid.org/0000-0003-2392-1120>), Hadrien Lorenzo [aut] (ORCID: <https://orcid.org/0000-0002-0253-8539>) GPL (>= 3) 2026-01-23 application/tgz https://CRAN.R-project.org/package=BinaryReplicates doi:10.32614/CRAN.package.BinaryReplicates