HierarchicalBetaCreate

The prior parameters for the top level base distribution.

priorParameters

Hyper prior parameters for the top level base distribution.

hyperPriorParameters

Individual level concentration parameter.

alpha0

maxT

Concentration parameter for the top level.

gammaParam

Metropolis Hastings step size for the posterior drawing.

mhStepSize

Number of stick breaking values to use.

num_sticks

Create a Mixing Object for a hierarchical Beta Dirichlet process object.

Create Dirichlet process objects that can be used as infinite mixture models in a variety of ways.
Some examples include; density estimation, Poisson process intensity inference, hierarchical modelling and clustering.
See Teh, Y. W. (2011) <https://www.stats.ox.ac.uk/~teh/research/npbayes/Teh2010a.pdf>, among many other sources.

HierarchicalBetaCreate: Create a Mixing Object for a hierarchical Beta Dirichlet process object.

Description

Usage

Arguments

Value