A Bayesian Repulsive Biclustering Model for Periodontal Data


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Documentation for package ‘BAREB’ version 0.1.2

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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