Man pages for PReMiuM
Dirichlet Process Bayesian Clustering, Profile Regression
| 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 |
| PReMiuM-package | Dirichlet Process Bayesian Clustering |
| profRegr | Profile Regression |
| rALD | Asymmetric Laplace Distribution |
| setHyperparams | Definition of characteristics of sample datasets for profile... |
| simBenchmark | Benchmark for simulated examples |
| summariseVarSelectRho | summariseVarSelectRho |
| vec2mat | Vector to upper triangular matrix |
