Init

<p>These data record the initial value of patient- and site-level covariates in simulation in the paper "BAREB: A Bayesian Repulsive Biclustering Model for Periodontal Data". It is obtained by simple linear regression.</p>
<p>The variables are:</p><table class="table">
<tr><td><code>Init</code></td><td>It has two parts: the initial value of patient-level covariates, <code>Beta</code>;  the initial value of site-level covariates, <code>Gamma</code></td></tr>
</table><p></p><p></p>

datasets

Simultaneously clusters the Periodontal diseases (PD) patients
and their tooth sites after taking the patient- and site-level covariates into consideration.
'BAREB' uses the determinantal point process (DPP) prior to induce diversity
among different biclusters to facilitate parsimony and interpretability.
Essentially, 'BAREB' is a cluster-wise linear model based on Yuliang (2020) <doi:10.1002/sim.8536>.

Qingyang Liu

BAREB

A Bayesian Repulsive Biclustering Model for Periodontal Data

Yuliang Li

Yanxun Xu

Dipankar Bandyopadhyay

John Burkardt

Init function

<p>These data record the initial value of patient- and site-level covariates in simulation in the paper "BAREB: A Bayesian Repulsive Biclustering Model for Periodontal Data". It is obtained by simple linear regression.</p>
<p>The variables are:</p><table class='table'>
<tr><td><code>Init</code></td><td>It has two parts: the initial value of patient-level covariates, <code>Beta</code>;  the initial value of site-level covariates, <code>Gamma</code></td></tr>
</table>



The initial value of patient- and site-level covariates for simulation — Init

The initial value of patient- and site-level covariates for simulation

Init: The initial value of patient- and site-level covariates for simulation

Description

Usage

Arguments

Examples