Bayesian Clustering of Multivariate Data Under the Dirichlet-Process Prior

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Documentation for package ‘DIRECT’ version 1.1.0

• DESCRIPTION file.

Help Pages

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