BinaryReplicates (version 1.0.0)

BinaryReplicates-package: BinaryReplicates: Dealing with Binary Replicates

Description

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.

Author

Maintainer: Pierre Pudlo (ORCID)

Authors:

• Manuela Royez-Carenzi (ORCID)

• Hadrien Lorenzo (ORCID)

References

Royer-Carenzi, M., Lorenzo, H., & Pudlo, P. (in press). Reconciling Binary Replicates: Beyond the Average. Statistics in Medicine.

See Also

Useful links:

• https://github.com/pierrepudlo/BinaryReplicates

• Report bugs at https://github.com/pierrepudlo/BinaryReplicates/issues