R: Bayesian Clustering of Multivariate Data Under the Dirichlet-Process Prior

# Bayesian Clustering of Multivariate Data Under the Dirichlet-Process Prior

## 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