A Bayesian LMM with multiple random effects (denoted as BLMM). The proposed model can capture the predictive effects from both common and rare variants, and is robust against disease models. It can simultaneously select isolated predictors with large effects and a group of predictors with small-to-large effects.
This package can be installed from Github by using devtools
.
devtools::install_github("yhai943/BLMM")