Description
Missing Multivariate Bayesian Variable Selection.
Description
A variable selection tool for multivariate normal variables with missing-at-random values using Bayesian Hierarchical Model. Visualization functions show the posterior distribution of gamma (inclusion variables) and beta (coefficients). Users can also visualize the heatmap of the posterior mean of covariance matrix. Kim, T. Nicolae, D. (2019) <https://github.com/tk382/MMVBVS/blob/master/workingpaper.pdf>. Guan, Y. Stephens, M. (2011) <doi:10.1214/11-AOAS455>.
README.md
MMVBVS
Multivariate Bayesian Selection algorithm, applied to multi-tissue gene expression level data.
Details in this workflowr vignette.
Working paper in here.