expectedNumberOfClusters

<p>Calculate the expected number of clusters from the number of individuals and a concentration parameter</p>

This MCMC method takes a data numeric vector (Y) and assigns the elements of Y
to a (potentially infinite) number of normal distributions. The individual normal distributions from a mixture of normals can be inferred.
Following the method described in Escobar (1994) <doi:10.2307/2291223> we use a Dirichlet Process Prior (DPP) to describe stochastically our prior assumptions about the dimensionality of the data.

Luis M. Avila

Inference of Parameters of Normal Distributions from a Mixture
of Normals

expectedNumberOfClusters: Calculate the expected number of clusters from the number of individuals and a concentration parameter

Description

Usage

Arguments

Value

Examples