updatemustar

This function takes current parameters, gives updated mean latent values for missingness model

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

updatemustar function

<dl> <dt>mu</dt>
<dd>current estimated mean matrix for CAL</dd> <dt>c</dt>
<dd>current c for missingness model</dd> <dt>n</dt>
<dd>number of patients</dd> <dt>T0</dt>
<dd>number of teeth</dd> <dt>D</dt>
<dd>the D matrix in the paper</dd></dl>

Arguments

Author

Function to update mean latent values for missingness model — updatemustar

<dl>

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

 <dt>c</dt>
<dd>current c for missingness model</dd>

 <dt>n</dt>
<dd>number of patients</dd>

 <dt>T0</dt>
<dd>number of teeth</dd>

 <dt>D</dt>
<dd>the D matrix in the paper</dd>

</dl>

updatemustar: Function to update mean latent values for missingness model

Description

Usage

Value

Arguments

Author

See Also