RJi: Function to update the number of site level clusters for one...

View source: R/RcppExports.R

RJiR Documentation

Function to update the number of site level clusters for one patient level cluster via RJMCMC

Description

This function updates the number of site level clusters for one patient level cluster via RJMCMC. Only used for updateRJ function.

Usage

RJi(w, K, Gamma, Beta, X, Y, Z, R, delta, mu, mu_star, c, sigma_square, C,
             theta, tau, m, n,q,T0, hyper_delta)

Arguments

w

The weights for site level clusters. Should be a vector.

K

The number of site level cluster for the patient level cluster.

Gamma

The linear coefficients for site level covariates. Should be a matrix.

Beta

The linear coefficients for patient level covariates. Should be a vector.

X

The design matrix for patient level clusters.

Y

The observed CAL value matrix

Z

The design matrix for site level clusters.

R

The current site level clustering membership

delta

The missing indicator matrix

mu

The current CAL mean vector

mu_star

The latent value vector for missingness model

c

The linear coefficients for missingness model

sigma_square

The current noise variance

C

The DPP related kernel matrices. Should be an array of 3 dimensions

theta

The DPP hyper-parameter for site level

tau

A fixed DPP hyper-parameter, which we suggest high value, say 10^5

m

The number of sites

n

The number of patients

q

The number of site level covariates

T0

The number of teeth

hyper_delta

The hyper-parameter with default value being 1

Value

RJi(w, K, Gamma, Beta, X, Y, Z, R, delta, mu, mu_star, c, sigma_square, C, theta, tau, m, n,q,T0, hyper_delta) returns a list with following variables:

K

The numbers of site level clusters

w

The weights for site level clusters

Gamma

Linear coefficients for site level covariates

R

The site level clusteirng membership

C

The DPP related kernel matrice

Author(s)

Yuliang Li


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

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