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

In BAREB: A Bayesian Repulsive Biclustering Model for Periodontal Data

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 March 26, 2020, 7:36 p.m.