A Bayesian Repulsive Biclustering Model for Periodontal Data

Documentation for package ‘BAREB’ version 0.1.2

BAREB	The BAREB package: summary information
const	const
Init	The initial value of patient- and site-level covariates for simulation
kernelC	The function to get the kernel function value
likeli_theta	likeli_theta
obs	The simulation observation
RJi	Function to update the number of site level clusters for one patient level cluster via RJMCMC
RJi_empty	Function to update the number of site level clusters for one patient level cluster via RJMCMC, when there is no patient in this cluster
truth	The simulation truth
updateBeta	Function to update patient level linear coefficients in the BAREB model
updateC	Function to obtain the kernel matrix of the determinantal point process
updatec	Function to update c in missingess model
updateE	Function to update patient level clustering in the BAREB model
updateGamma	Function to update site level linear coefficients in the BAREB model
updatemu	Function to update estimated mean CAL values based on current parameters
updatemustar	Function to update mean latent values for missingness model
updateR	Function to update site level clustering in the BAREB model
updateZstar	Function to generate new latent values for missingness model
update_RJ	update_RJ
update_sigma_squre	update_sigma_squre
update_theta_beta	update_theta_beta
update_theta_gamma	update_theta_gamma
update_w	update_w
update_w_beta	update_w_beta