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Provides a full package of posterior inference, model comparison, and graphical illustration of model fitting. A parallel computing algorithm for the Markov chain Monte Carlo (MCMC) based posterior inference and an ExpectationMaximization (EM) based algorithm for posterior approximation are are developed, both of which greatly reduce the computational time for model inference.
Package details 


Author  Zhuxuan Jin, Zhou Lan, Yize Zhao, Jian Kang, Tianwei Yu 
Maintainer  Tianwei Yu <[email protected]> 
License  GPL2 
Version  2.0 
Package repository  View on CRAN 
Installation 
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