| average_scoring | Non-Bayesian scoring methods |
| BayesianFit | Fit the Bayesian model for Binary Replicates |
| bayesian_computations | Bayesian computations |
| bayesian_prevalence_estimate | Bayesian computations |
| bayesian_scoring | Bayesian computations |
| classify_with_scores | Classification based on a thresholding of the scores |
| classify_with_scores_cvEM | Perform classification on the scores for each fold of a cvEM object |
| credint | Bayesian computations |
| cvEM | Cross-validation for the EM algorithm |
| EMFit | Compute the _Maximum-A-Posteriori_ estimate with the EM algorithm |
| likelihood_scoring | Non-Bayesian scoring methods |
| mammography | A mammography dataset |
| mammography-datasets | A mammography dataset |
| MAP_scoring | Non-Bayesian scoring methods |
| median_scoring | Non-Bayesian scoring methods |
| non_bayesian_scoring | Non-Bayesian scoring methods |
| observed | A mammography dataset |
| periodontal | A periodontal dataset |
| predict_scores | Compute predictive Bayesian scores |
| prevalence_estimate | Compute the average-/median- or MAP-based prevalence estimates based on the scores |