updateR: Function to update site level clustering in the BAREB model

In BAREB: A Bayesian Repulsive Biclustering Model for Periodontal Data

Function to update site level clustering in the BAREB model

Description

This function takes current parameters and observed data, gives an updated site level clustering.

Usage

updateR( w ,Gamma,Beta,
    Y, Z, delta,
    mu, mu_star,
    c, S, sigma_square,
    K, E, X,
    m,n, q, p, T0)

Arguments

w	current site level clustering prior prob, a matrix
Gamma	current site level linear coefficients array
Beta	current patient level linear coefficients matrix
Y	the CAL observation matrix, with missing values
Z	the site level covariate matrix
delta	the missing indicator matrix, with 1 means missing
mu	current estimated mean matrix for CAL
mu_star	current matrix of latent value for missingness model
c	current c for missingness model
S	number of patient level clusters
sigma_square	current estimated noise variance
K	a vector recording numbers of site level clusters
E	current patient level clustering vector
X	the patient level covariate matrix
m	number of sites
n	number of patients
p	dimension of patient level covariates
q	dimension of site level covariates
T0	number of teeth

Value

updateR( w ,Gamma,Beta, Y, Z, delta, mu, mu_star, c, S, sigma_square, K, E, X, m,n, p, q, T0) returns the updated site level clustering.

Author(s)

Yuliang Li

See Also

update_RJ for a complete example for all functions in this package.

BAREB documentation built on April 12, 2025, 1:53 a.m.