data

<p>A dataset generated for examplification of Gibbs sampler using the model proposed
in the paper "BayesCPclust: A Bayesian Approach for Clustering Constant-Wise Change-Point Data".
The generation process is described in the paper with N = 5, M = 50, w = 10, d = 2, K = 2.</p>

datasets

A Gibbs sampler algorithm was developed to estimate change points in constant-wise data sequences while performing clustering simultaneously. The algorithm is described in da Cruz, A. C. and de Souza, C. P. E "A Bayesian Approach for Clustering Constant-wise Change-point Data" <doi:10.48550/arXiv.2305.17631>.

Ana Carolina da Cruz

BayesCPclust

A Bayesian Approach for Clustering Constant-Wise Change-Point
Data

data function

<p>A matrix with 50 rows and 5 columns</p>

data: Error free data for all examples.

Description

Usage

Arguments

Format

References