# Bayesian Profile Regression using Generalised Linear Mixed Models

## Documentation for package ‘ProfileGLMM’ version 1.0.2

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

encodeCat | One-Hot Encodes Factor Variables (FIRST Level as Reference)
examp | List of the different outputs of the main function for examples
exposure_data | Simulated Data and Parameters for a exposure profile linear mixed model
piecewise_data | Simulated Data and Parameters for a Piecewise Example
prior_init | Initialize the prior hyperparameters for the Profile GLMM
profileGLMM_Gibbs | R Wrapper for Profile GLMM Gibbs Sampler (C++ backend)
profileGLMM_postProcess | Post-process the MCMC chain from profileGLMM_Gibbs
profileGLMM_predict | Prediction of cluster memberships and outcomes
profileGLMM_preprocess | Preprocess the data from a list describing the profile LMM model
theta_init | Initialize the variables for the Gibbs sampler chain