updateE: Function to update patient level clustering in the BAREB...

In BAREB: A Bayesian Repulsive Biclustering Model for Periodontal Data

Description

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

Usage

updateE( Beta, Gamma,w,
    X, Y, Z, delta,
    E, R, S, Ds,
    mu, mustar,
    sigma, c,
    n, m, T0, p, q, D)

Arguments

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

Value

updateE( Beta, Gamma,w, X, Y, Z, delta,E, R, S, Ds, mu, mustar, sigma, c, n, m, T0, p, q, D) returns a list with following variables:

E	the updated patient level clustering
Ds	new vector recording the numbers of site level clusters
mu	the updated mu computed by updated E
mustar	the updated mustar computed by updated E

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.