mlmm: Multilevel Model for Multivariate Responses with Missing Values

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.

install.packages("mlmm")

Try the mlmm package in your browser