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.
|Author||Zhuxuan Jin, Zhou Lan, Yize Zhao, Jian Kang, Tianwei Yu|
|Date of publication||2017-03-11 10:28:57|
|Maintainer||Tianwei Yu <email@example.com>|
|Package repository||View on CRAN|
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