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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 Expectation-Maximization (EM) based algorithm for posterior approximation are are developed, both of which greatly reduce the computational time for model inference.
Package details |
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Author | Zhuxuan Jin, Zhou Lan, Yize Zhao, Jian Kang, Tianwei Yu |
Maintainer | Tianwei Yu <tianwei.yu@emory.edu> |
License | GPL-2 |
Version | 2.0 |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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