updateZstar

This function takes current parameters, gives updated c in missingess model. Note a double type of value is returned

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

updateZstar function

<dl> <dt>mu_star</dt>
<dd>current matrix of latent value for missingness model</dd> <dt>delta</dt>
<dd>the missing indicator matrix, with 1 means missing</dd> <dt>n</dt>
<dd>number of patients</dd> <dt>T0</dt>
<dd>number of teeth</dd> 
</dl>

Arguments

Author

Function to generate new latent values for missingness model — updateZstar

<dl>

 <dt>mu_star</dt>
<dd>current matrix of latent value for missingness model</dd>

 <dt>delta</dt>
<dd>the missing indicator matrix, with 1 means missing</dd>

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

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

 
</dl>

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updateZstar: Function to generate new latent values for missingness model

Description

Usage

Value

Arguments

Author

See Also