PReMiuMpackage          Dirichlet Process Bayesian Clustering
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
computeRatioOfVariance
                        computeRatioOfVariance
generateSampleDataFile
                        Generate sample data files for profile
                        regression
globalParsTrace         Plot of the trace of some of the global
                        parameters
heatDissMat             Plot the heatmap of the dissimilarity matrix
is.wholenumber          Function to check if a number is a whole number
mapforGeneratedData     Map generated data
margModelPosterior      Marginal Model Posterior
plotPredictions         Plot the conditional density using the
                        predicted scenarios
plotRiskProfile         Plot the Risk Profiles
profRegr                Profile Regression
rALD                    Asymmetric Laplace Distribution
setHyperparams          Definition of characteristics of sample
                        datasets for profile regression
simBenchmark            Benchmark for simulated examples
summariseVarSelectRho   summariseVarSelectRho
vec2mat                 Vector to upper triangular matrix
