simulateChineseRestaurant

<p>the number of elements to be grouped</p>

num_elements

<p>Simulate a discrete distribution as in the chinese restaurant problem</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

simulateChineseRestaurant: Simulate a discrete distribution as in the chinese restaurant problem

Description

Usage

Arguments

Value

Examples