# Dirichlet Process Bayesian Clustering, Profile Regression

## Documentation for package ‘PReMiuM’ version 3.2.7

- DESCRIPTION file.

## Help Pages

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
clusSummaryBernoulliDiscreteSmall | Sample datasets for profile regression
clusSummaryBernoulliMixed | Sample datasets for profile regression
clusSummaryBernoulliNormal | Sample datasets for profile regression
clusSummaryBinomialNormal | Sample datasets for profile regression
clusSummaryCategoricalDiscrete | Sample datasets for profile regression
clusSummaryGammaNormal | Sample datasets for profile regression
clusSummaryNormalDiscrete | Sample datasets for profile regression
clusSummaryNormalNormal | Sample datasets for profile regression
clusSummaryNormalNormalSpatial | Sample datasets for profile regression
clusSummaryPoissonDiscrete | Sample datasets for profile regression
clusSummaryPoissonNormal | Sample datasets for profile regression
clusSummaryPoissonNormalSpatial | Sample datasets for profile regression
clusSummaryQuantileNormal | Sample datasets for profile regression
clusSummaryVarSelectBernoulliDiscrete | Sample datasets for profile regression
clusSummaryWeibullDiscrete | 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
PReMiuM | Dirichlet Process Bayesian Clustering
PReMiuMpackage | Dirichlet Process Bayesian Clustering
profRegr | Profile Regression
qALD | Asymmetric Laplace Distribution
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