To conduct Bayesian inference regression for responses with multilevel explanatory variables and missing values; It uses function from 'Stan', a software to implement posterior sampling using Hamiltonian MC and its variation Non-U-Turn algorithms. It implements the posterior sampling of regression coefficients from the multilevel regression models. The package has two main functions to handle not-missing-at-random missing responses and left-censored with not-missing-at random responses. The purpose is to provide a similar format as the other R regression functions but using 'Stan' models.
|Author||Irene Zeng [aut, cre], Thomas Lumley [ctb]|
|Bioconductor views||Bayesian Classification CopyNumberVariation ImmunoOncology MassSpectrometry Proteomics Regression Software|
|Maintainer||Irene SL Zeng <email@example.com>|
|Package repository||View on Bioconductor|
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