updateC

This function takes a matrix and two parameters of kernel function for the determinantal point process (DPP) and gives the kernel matrix for that DPP.

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

updateC function

<dl> <dt>Z</dt>
<dd>a matrix, whose rows stand for configurations of the DPP.</dd> <dt>theta</dt>
<dd>a parameter of the DPP's kernel function</dd> <dt>tau</dt>
<dd>a parameter of the DPP's kernel function</dd></dl>

Arguments

Author

Function to obtain the kernel matrix of the determinantal point process — updateC

<dl>

 <dt>Z</dt>
<dd>a matrix, whose rows stand for configurations of the DPP.</dd>

 <dt>theta</dt>
<dd>a parameter of the DPP's kernel function</dd>

 <dt>tau</dt>
<dd>a parameter of the DPP's kernel function</dd>

</dl>

updateC: Function to obtain the kernel matrix of the determinantal point process

Description

Usage

Value

Arguments

Author

See Also

Examples