DIRECT                  Bayesian Clustering with the Dirichlet-Process
                        Prior
DIRECT-package          Bayesian Clustering of Multivariate Data with
                        the Dirichlet-Process Prior
DPMCMC                  Dirichlet Process-Based Markov Chain Monte
                        Carlo (MCMC) Sampler for Mixture Model-Based
                        Clustering
outputData              Writing Simulation Parameters and Data to Files
plotClustersMean        Plotting Clustered Mean Vectors
plotClustersPCA         PCA Plot for Posterior Allocation Probability
                        Matrix
plotClustersSD          Plotting Posterior Estimates of
                        Cluster-Specific Random Effects
plotSimulation          Plotting Data Simulated Under A Random-Effects
                        Mixture Model
rDirichlet              The Dirichlet Distribution
rMVNorm                 The Multivariate Normal Distribution
relabel                 A Relabel Algorithm
resampleClusterProb     Resampling to Estimate Posterior Allocation
                        Probability Matrix
simuDataREM             Data Simulation Under the Random-Effects
                        Mixture Model
summaryDIRECT           Processing Posterior Estimates for Clustering
                        Under DIRECT
tc.data                 Time-Course Microarray Gene Expression Data
