update_sigma_squre

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

update_sigma_squre function

<dl><dt>Y</dt>
<dd>The CAL observation matrix, with missing values</dd>
<dt>mu</dt>
<dd>Current estimated mean matrix for CAL</dd>
<dt>a</dt>
<dd>The hyper-parameter with default value being 1</dd>
<dt>b</dt>
<dd>The hyper-parameter with default value being 1</dd></dl>

Arguments

update_sigma_squre — update_sigma_squre

<dl>

<dt>Y</dt>
<dd>The CAL observation matrix, with missing values</dd>


<dt>mu</dt>
<dd>Current estimated mean matrix for CAL</dd>


<dt>a</dt>
<dd>The hyper-parameter with default value being 1</dd>


<dt>b</dt>
<dd>The hyper-parameter with default value being 1</dd>

</dl>

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update_sigma_squre: update_sigma_squre

Description

Usage

Value

Arguments

See Also