CRAN
mlmm 1.5.0
Multilevel Model for Multivariate Responses with Missing Values
Released Feb 1, 2018 by Irene SL Zeng
Dependencies
ggplot2 3.0.0 RcppEigen 0.3.3.4.0 StanHeaders 2.17.2 rstantools 1.5.1 MASS 7.3-50 Rcpp rstan 2.17.3 Matrix 1.2-14 BH 1.66.0-1
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.