postalpha0: Posterior for alpha0

In BayesCPclust: A Bayesian Approach for Clustering Constant-Wise Change-Point Data

Posterior for alpha0

Description

Posterior for alpha0

Usage

postalpha0(alpha0, a, b, N, cluster)

Arguments

alpha0	A scalar defining the parameter for the Dirichlet process prior that controls the number of clusters (or its initial values)
a	The hyperparameter value for the shape parameter in the gamma prior for alpha0
b	The hyperparameter value for the scale parameter in the gamma prior for alpha0
N	A scalar representing the number of data sequences
cluster	A vector containing the cluster assignments for the data sequences (or its initial values)

Value

A numerical value corresponding to a sample from the posterior of alpha0

Note

This function is called within the Gibbs sampler, but it can be called seperately.

Examples

postalpha0(alpha0 = 1/100, a = 2, b = 1000, N = 5, cluster = c(1,1,2,1,1))

BayesCPclust documentation built on April 4, 2025, 5:19 a.m.