Description Usage Arguments Value Author(s)
This function updates the number of site level clusters for one patient level cluster via RJMCMC. Only used for updateRJ
function.
1 2 |
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 |
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 |
Yuliang Li
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