DirichletProcessHierarchicalMvnormal2 {dirichletprocess} | R Documentation |
Create a Hierarchical Dirichlet Mixture of semi-conjugate Multivariate Normal Distributions
Description
Create a Hierarchical Dirichlet Mixture of semi-conjugate Multivariate Normal Distributions
Usage
DirichletProcessHierarchicalMvnormal2(
dataList,
g0Priors,
gammaPriors = c(2, 4),
alphaPriors = c(2, 4),
numSticks = 50,
numInitialClusters = 1,
mhDraws = 250
)
Arguments
dataList |
List of data for each separate Dirichlet mixture object |
g0Priors |
Prior Parameters for the top level base distribution. |
gammaPriors |
Prior parameters for the top level concentration parameter. |
alphaPriors |
Prior parameters for the individual parameters. |
numSticks |
Truncation level for the Stick Breaking formulation. |
numInitialClusters |
Number of clusters to initialise with. |
mhDraws |
Number of Metropolis-Hastings samples to perform for each cluster update. |
Value
dpobjlist A Hierarchical Dirichlet Process object that can be fitted, plotted etc.
[Package dirichletprocess version 0.4.2 Index]