Bayesian Hierarchical Models for Single-Cell Protein Data • BTIME
Description: Bayesian Hierarchical beta-binomial models for modeling cell population to predictors/exposures. This package utilizes *runjags* to run Gibbs sampling, parallelizing the chains. Options for different covariances/relationship structures between parameters of interest.

# BTIME

The package `BTIME` uses Bayesian hierarchical models to model immune cell populations and detect associations with a predictor variable. This models each cell type simultaneously while incorporating potential relationships between the cell populations. The relationship utilized in this model is user dependent based on the function inputs. This package utilizes rjags and runjags packages to run Gibbs sampling for posterior estimation.

Back to BTIME Repo: https://github.com/FridleyLab/BTIME

# Installation

Before running this package, the JAGS (Just Another Gibbs Sampler) program needs to be installed. You can download from https://sourceforge.net/projects/mcmc-jags/files/.

# Using BTIME

TUTORIAL: https://fridleylab.github.io/BTIME/