Multilevel Model for Multivariate Responses with Missing Values
Description
To conduct Bayesian inference regression for responses with multilevel explanatory variables and missing values(Zeng ISL (2017) ). Functions utilizing 'Stan', a software to implement posterior sampling using Hamiltonian MC and its variation Non-U-Turn algorithms are generated and provided to implement 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.