update_theta_beta

Update the DPP hyper-parameter for patient level

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_theta_beta function

<dl><dt>theta</dt>
<dd>The DPP hyper-parameter for patient level</dd>
<dt>tau</dt>
<dd>A fixed DPP hyper-parameter, which we suggest high value, say 10^5</dd>
<dt>Beta</dt>
<dd>The linear coefficients for patient level covariates. Should be a matrix with S rows</dd>
<dt>sig</dt>
<dd>The hyper-parameter with default value being 10</dd></dl>

Arguments

update_theta_beta — update_theta_beta

<dl>

<dt>theta</dt>
<dd>The DPP hyper-parameter for patient level</dd>


<dt>tau</dt>
<dd>A fixed DPP hyper-parameter, which we suggest high value, say 10^5</dd>


<dt>Beta</dt>
<dd>The linear coefficients for patient level covariates. Should be a matrix with S rows</dd>


<dt>sig</dt>
<dd>The hyper-parameter with default value being 10</dd>

</dl>

update_theta_beta: update_theta_beta

Description

Usage

Value

Arguments

See Also