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 SL Zeng [aut, cre], Thomas Lumley [ctb]|
|Date of publication||2018-02-01 16:10:16 UTC|
|Maintainer||Irene SL Zeng <[email protected]>|
|Package repository||View on CRAN|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.