R: A Bayesian Repulsive Biclustering Model for Periodontal Data

# A Bayesian Repulsive Biclustering Model for Periodontal Data

## Documentation for package ‘BAREB’ version 0.1.2

- DESCRIPTION file.

## Help Pages

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