BinaryReplicates
Dealing with Binary Replicates
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
2026-04-09 windows/windows R-4.5 | BinaryReplicates_1.0.0.zip |
938.5 KiB |
Dependencies (latest)
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)