Markov chain Monte Carlo (MCMC) implementation to fit zeroinflated poisson Bayesian network models for zeroinflated count data such as scRNAseq data. Each local distribution of a Bayesian network is assumed to be a zeroinflated poisson model. The algorithm uses MetropolisWithinGibbs sampling for posterior inference.
Package details 


Author  Junsouk Choi [aut, cre] 
Maintainer  Junsouk Choi <jchoi@stat.tamu.edu> 
License  GPL (>=2) 
Version  1.0.0 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

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