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| calcAvgRiskAndProfile | Calculation of the average risks and profiles |
| calcDissimilarityMatrix | Calculates the dissimilarity matrix |
| calcOptimalClustering | Calculation of the optimal clustering |
| calcPredictions | Calculates the predictions |
| clusSummaryBernoulliDiscrete | Sample datasets for profile regression |
| clusSummaryBernoulliMixed | Sample datasets for profile regression |
| clusSummaryBinomialNormal | Sample datasets for profile regression |
| clusSummaryCategoricalDiscrete | Sample datasets for profile regression |
| clusSummaryNormalDiscrete | Sample datasets for profile regression |
| clusSummaryNormalNormal | Sample datasets for profile regression |
| clusSummaryPoissonDiscrete | Sample datasets for profile regression |
| clusSummaryPoissonNormal | Sample datasets for profile regression |
| clusSummaryVarSelectBernoulliDiscrete | Sample datasets for profile regression |
| computeRatioOfVariance | computeRatioOfVariance |
| generateSampleDataFile | Generate sample data files for profile regression |
| is.wholenumber | Function to check if a number is a whole number |
| margModelPosterior | Marginal Model Posterior |
| plotRiskProfile | Plot the Risk Profiles |
| PReMiuM | Dirichlet Process Bayesian Clustering |
| PReMiuMpackage | Dirichlet Process Bayesian Clustering |
| profRegr | Profile Regression |
| setHyperparams | Definition of characteristics of sample datasets for profile regression |
| summariseVarSelectRho | summariseVarSelectRho |