junsoukchoi/BayesDAG0: Bayesian Differential Zero-Inflated Negative Binomial Directed Acyclic Graphs

Markov chain Monte Carlo (MCMC) implementation for Bayesian differential zero-inflated negative binomial DAG (DAG0). DAG0 aims to two-sample causal discovery for observational zero-inflated count data. DAG0 helps identify differential networks across two sample groups as well as deals with zero-inflation in observational count data.

Getting started

Package details

AuthorJunsouk Choi and Yang Ni
MaintainerJunsouk Choi <jchoi@stat.tamu.edu>
LicenseGPL (>=2)
Version1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("junsoukchoi/BayesDAG0")
junsoukchoi/BayesDAG0 documentation built on Feb. 26, 2025, 2:37 p.m.