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.
| Version: |
1.0.0 |
| 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 |
| Published: |
2026-01-23 |
| DOI: |
10.32614/CRAN.package.BinaryReplicates (may not be active yet) |
| Author: |
Pierre Pudlo 
[aut, cre],
Manuela Royez-Carenzi
[aut],
Hadrien Lorenzo
[aut] |
| Maintainer: |
Pierre Pudlo <pierre.pudlo at univ-amu.fr> |
| BugReports: |
https://github.com/pierrepudlo/BinaryReplicates/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://github.com/pierrepudlo/BinaryReplicates |
| NeedsCompilation: |
yes |
| SystemRequirements: |
GNU make |
| Materials: |
README |
| CRAN checks: |
BinaryReplicates results |