Bayesian Clustering of Multivariate Data Under the Dirichlet-Process Prior


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Documentation for package ‘DIRECT’ version 1.0.1

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DIRECT-package Bayesian Clustering of Multivariate Data with the Dirichlet-Process Prior
dDirichlet The Dirichlet Distribution
DIRECT Bayesian Clustering with the Dirichlet-Process Prior
direct Bayesian Clustering with the Dirichlet-Process Prior
dMVNorm The Multivariate Normal Distribution
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
relabel A Relabel Algorithm
resampleClusterProb Resampling to Estimate Posterior Allocation Probability Matrix
rMVNorm The Multivariate Normal Distribution
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